Pub Date : 2022-04-18DOI: 10.1142/s0219622022500146
J. Kacprzyk, G. Sirbiladze, Gvantsa Tsulaia
For decreasing service centers’ selection risks in emergency facility location selection, it is crucial to have selected candidate service centers within deeply detailed facility location selection model. To achieve this, a new approach developed in this article involves two stages. In the first stage, the fuzzy multi-attribute group decision making (MAGDM) model for evaluation of the selection of candidate service centers is created. For the aggregation of experts’ assessments of candidate service centers (with respect to attributes) aggregation operators’ approach is used. Experts’ assessments are presented in fuzzy terms with semantic form of triangular fuzzy numbers. For the deeply detailed facility location selection modeling and for the intellectual activity of experts in their evaluations, pairwise interactions between attributes of MAGDM model are considered in the construction of the second-order additive triangular fuzzy valued fuzzy measure (TFVFM). The associated triangular fuzzy probability averaging (As-TFPA) aggregation operators’ family is constructed with respect to TFVFM. Analytical properties of the As-TFPA operators are studied. The new operators are certain extensions of the well-known Choquet integral operator. The extensions, in contrast to the Choquet aggregation, consider all possible pair-wise interactions of the attributes by introducing associated fuzzy probabilities of a TFVFM. At the end of the first stage, a candidate service center’s selection index is defined as As-TFPA operator’s aggregation value on experts’ assessments with respect to attributes. At the second stage, fuzzy multi-objective facility location set covering problem (MOFLSCP) is created for facility location selection optimal planning with new criteria: (1) maximization of candidate service centers selection index and classical two criteria, (2) minimization of the total cost needed to open service centers and (3) minimization of number of agents needed to operate the opened service centers. For the constructed two-stage methodology a simulation example of emergency service facility location planning for a city is considered. The example gives the Pareto fronts obtained by As-TFPA operators, the Choquet integral-TFCA operator and well-known TOPSIS approach, for optimal selecting candidate sites for the servicing of demand points. The comparative analysis identifies that the differences in the Pareto solutions, obtained by using As-TFPA operators and TFCA operator or TOPSIS aggregation, are also caused by the fact that TFCA operator or TOPSIS approach considers the pair interaction indexes for only one consonant structure of attributes. While new As-TFPA aggregations provide all pairwise interactions for all consonant structures.
{"title":"Associated Fuzzy Probabilities in MADM with Interacting Attributes: Application in Multi-Objective Facility Location Selection Problem","authors":"J. Kacprzyk, G. Sirbiladze, Gvantsa Tsulaia","doi":"10.1142/s0219622022500146","DOIUrl":"https://doi.org/10.1142/s0219622022500146","url":null,"abstract":"For decreasing service centers’ selection risks in emergency facility location selection, it is crucial to have selected candidate service centers within deeply detailed facility location selection model. To achieve this, a new approach developed in this article involves two stages. In the first stage, the fuzzy multi-attribute group decision making (MAGDM) model for evaluation of the selection of candidate service centers is created. For the aggregation of experts’ assessments of candidate service centers (with respect to attributes) aggregation operators’ approach is used. Experts’ assessments are presented in fuzzy terms with semantic form of triangular fuzzy numbers. For the deeply detailed facility location selection modeling and for the intellectual activity of experts in their evaluations, pairwise interactions between attributes of MAGDM model are considered in the construction of the second-order additive triangular fuzzy valued fuzzy measure (TFVFM). The associated triangular fuzzy probability averaging (As-TFPA) aggregation operators’ family is constructed with respect to TFVFM. Analytical properties of the As-TFPA operators are studied. The new operators are certain extensions of the well-known Choquet integral operator. The extensions, in contrast to the Choquet aggregation, consider all possible pair-wise interactions of the attributes by introducing associated fuzzy probabilities of a TFVFM. At the end of the first stage, a candidate service center’s selection index is defined as As-TFPA operator’s aggregation value on experts’ assessments with respect to attributes. At the second stage, fuzzy multi-objective facility location set covering problem (MOFLSCP) is created for facility location selection optimal planning with new criteria: (1) maximization of candidate service centers selection index and classical two criteria, (2) minimization of the total cost needed to open service centers and (3) minimization of number of agents needed to operate the opened service centers. For the constructed two-stage methodology a simulation example of emergency service facility location planning for a city is considered. The example gives the Pareto fronts obtained by As-TFPA operators, the Choquet integral-TFCA operator and well-known TOPSIS approach, for optimal selecting candidate sites for the servicing of demand points. The comparative analysis identifies that the differences in the Pareto solutions, obtained by using As-TFPA operators and TFCA operator or TOPSIS aggregation, are also caused by the fact that TFCA operator or TOPSIS approach considers the pair interaction indexes for only one consonant structure of attributes. While new As-TFPA aggregations provide all pairwise interactions for all consonant structures.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"108 1","pages":"1155-1188"},"PeriodicalIF":0.0,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81586426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-30DOI: 10.1142/s0219622022500122
Yinyu Wang, K. Ullah, T. Mahmood, Harish Garg, L. Zedam, Shouzhen Zeng, Xingsen Li
The concepts of relations and information measures have importance whenever we deal with medical diagnosis problems. The aim of this paper is to investigate the global pandemic COVID-19 scenario using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment. An IVTSF set (IVTSFS) allows describing four aspects of human opinions i.e., membership, abstinence, non-membership, and refusal grade that process information in a significant way and reduce information loss. We propose similarity measures and relations in the IVTSF environment and investigate their properties. Both information measures and relations are applied in a medical diagnosis problem keeping in view the global pandemic COVID-19. How to determine the diagnosis based on symptoms of a patient using similarity measures and relations is discussed. Finally, the advantages of dealing with such problems using the IVTSF framework are demonstrated with examples.
{"title":"Methods for Detecting COVID-19 Patients Using Interval-Valued T-Spherical Fuzzy Relations and Information Measures","authors":"Yinyu Wang, K. Ullah, T. Mahmood, Harish Garg, L. Zedam, Shouzhen Zeng, Xingsen Li","doi":"10.1142/s0219622022500122","DOIUrl":"https://doi.org/10.1142/s0219622022500122","url":null,"abstract":"The concepts of relations and information measures have importance whenever we deal with medical diagnosis problems. The aim of this paper is to investigate the global pandemic COVID-19 scenario using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment. An IVTSF set (IVTSFS) allows describing four aspects of human opinions i.e., membership, abstinence, non-membership, and refusal grade that process information in a significant way and reduce information loss. We propose similarity measures and relations in the IVTSF environment and investigate their properties. Both information measures and relations are applied in a medical diagnosis problem keeping in view the global pandemic COVID-19. How to determine the diagnosis based on symptoms of a patient using similarity measures and relations is discussed. Finally, the advantages of dealing with such problems using the IVTSF framework are demonstrated with examples.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"66 1","pages":"1033-1060"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80390937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1142/s0219622022500109
Jan Corfixen Sørensen, M. Lützen, S. Eriksen, J. B. Jensen
Even though that there has been increasing focus on the energy-efficient operation of vessels and that the knowledge of cost-effective improvements is widespread in the industry, energy-efficient operation is only a minor topic on board many working vessels. A significant reduction in fuel can be achieved through changes in the operational practices, but to establish a successful system for best practices within energy-management the installation of a decision support system is essential. This article presents a decision support system for working vessels to determine best practice for the reduction of fuel consumption. Requirements for the system are defined through interviews with crew and observations on board vessels. Case studies are used for illustrating the usefulness. The use of generators onboard is analyzed using the software. It is found that the generators are not running optimally, but the crew can use the software to re-organize and find the most fuel-efficient loading range for the generators on board.
{"title":"A Modular Working Vessel Decision Support System for Fuel Consumption Reduction","authors":"Jan Corfixen Sørensen, M. Lützen, S. Eriksen, J. B. Jensen","doi":"10.1142/s0219622022500109","DOIUrl":"https://doi.org/10.1142/s0219622022500109","url":null,"abstract":"Even though that there has been increasing focus on the energy-efficient operation of vessels and that the knowledge of cost-effective improvements is widespread in the industry, energy-efficient operation is only a minor topic on board many working vessels. A significant reduction in fuel can be achieved through changes in the operational practices, but to establish a successful system for best practices within energy-management the installation of a decision support system is essential. This article presents a decision support system for working vessels to determine best practice for the reduction of fuel consumption. Requirements for the system are defined through interviews with crew and observations on board vessels. Case studies are used for illustrating the usefulness. The use of generators onboard is analyzed using the software. It is found that the generators are not running optimally, but the crew can use the software to re-organize and find the most fuel-efficient loading range for the generators on board.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"82 1","pages":"969-997"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87359223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1142/s0219622022500134
A. Adem, M. Dağdeviren
To ensure a safe production environment for blue-collar employees, physical ergonomic risk factors (PERFs) such as noise, the vibration must be considered in every workplace. However, PERFs require both theoretical and practical information to figure out their characteristics and negative health effects on employees. This paper proposes an easy-to-follow sustainable ergonomic guide that includes the theoretical and practical information about the calculation details of PERFs, a decision-making (DM) tool to evaluate ergonomic risk factors, and a formula to calculate the total ergonomic risk score of a company. In the DM process, the Pythagorean fuzzy extensions of the Analytical Hierarchy Process were utilized to evaluate PERFs with respect to the social, technical, environmental, and economic criteria. To show the applicability of this guide, a real-world application was conducted in a company located in Ankara. According to the results, technical criteria were determined as the most critical ([Formula: see text]), followed by the social, i.e., health-related factor ([Formula: see text]). The total risk score of the company was calculated using the measurement of the PERFs and the coefficients obtained from the DM process. A comprehensive sensitivity analysis was conducted to validate the robustness of the guide. The main contribution of this paper is that a formula that can be utilized to calculate the total ergonomic risk score of any type of company was developed, based on the fuzzy DM technique and Threshold Limit Values of risk parameters.
{"title":"A Decision-Making Framework for Total Ergonomic Risk Score Computation in Companies","authors":"A. Adem, M. Dağdeviren","doi":"10.1142/s0219622022500134","DOIUrl":"https://doi.org/10.1142/s0219622022500134","url":null,"abstract":"To ensure a safe production environment for blue-collar employees, physical ergonomic risk factors (PERFs) such as noise, the vibration must be considered in every workplace. However, PERFs require both theoretical and practical information to figure out their characteristics and negative health effects on employees. This paper proposes an easy-to-follow sustainable ergonomic guide that includes the theoretical and practical information about the calculation details of PERFs, a decision-making (DM) tool to evaluate ergonomic risk factors, and a formula to calculate the total ergonomic risk score of a company. In the DM process, the Pythagorean fuzzy extensions of the Analytical Hierarchy Process were utilized to evaluate PERFs with respect to the social, technical, environmental, and economic criteria. To show the applicability of this guide, a real-world application was conducted in a company located in Ankara. According to the results, technical criteria were determined as the most critical ([Formula: see text]), followed by the social, i.e., health-related factor ([Formula: see text]). The total risk score of the company was calculated using the measurement of the PERFs and the coefficients obtained from the DM process. A comprehensive sensitivity analysis was conducted to validate the robustness of the guide. The main contribution of this paper is that a formula that can be utilized to calculate the total ergonomic risk score of any type of company was developed, based on the fuzzy DM technique and Threshold Limit Values of risk parameters.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"13 1","pages":"1321-1348"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90100114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-09DOI: 10.1142/s0219622022300014
Weishu Li, Liying Yu, Wenying Xia, Jian Zhou, YvXiu Zhao, Mei Du
Multi-criteria decision making (MCDM) is a sub-discipline of operations research aimed at evaluating alternatives in consideration of various criteria. It is used by practically everyone in their daily lives and professional settings. Seeing the great value of MCDM, we conduct a comprehensive review to propel its innovation and development forward. Compared with any other reviews, we do not focus on introducing its methods, but on tracing its evolution and characteristics. As a general rule, every discipline has its own developing laws. They can be understood on various levels and can point out the direction the discipline is heading for. We firmly believe that our work can bring insight into MCDM’s frontiers and trend, which can eventually provide guidance on how to conduct the future research. In the first half of the paper, we investigate MCDM’s paradigm through literature review and colloquially divide its story into four stages: the Stone Age, the Iron Age, the Industrial Age and the New Stage. The first three stages symbolise its debut, growth and prosperity. Each one has distinctive thoughts, techniques and application, and to some extent hints the major works of the next stage. Since the turn of the 21st century, the paradigm has been once again experiencing dramatic changes, suggesting that it is on the threshold of a new era. Thus, in the second half of the work, a bibliometric analysis of the present stage ensues. Put simply, we take a global view of the stage by visualizing the stage’s publication quantity, publication distribution, and research categories. Then we design a snowballing co-citation method to explore its movements. The results demonstrate that MCDM is a dynamic, worldwide study for which China is the most productive country and the USA plays a pivot role in scholar communication. Method reviews, straightforward methods and MCDM-oriented fuzzy sets are predominant frontiers. The application, however, always changes with the requirements of the times. Now, it mainly refers to energy, environment, and supplier selection, while issues like sociology, tourism, education, etc. also emerge at a fast speed. Apart from this, experts have gradually shaken off the fetters of the traditional research style and are increasingly willing to structure methods and select application areas with a more personal touch. In the future, how to improve reviews, methods and fuzzy sets, how to understand and draw inspirations from society needs, and how experts can tailor MCDM to accommodate specific problems might be the pressing concerns.
{"title":"Riding with the Surging Tide: A Review of MCDM's Evolution","authors":"Weishu Li, Liying Yu, Wenying Xia, Jian Zhou, YvXiu Zhao, Mei Du","doi":"10.1142/s0219622022300014","DOIUrl":"https://doi.org/10.1142/s0219622022300014","url":null,"abstract":"Multi-criteria decision making (MCDM) is a sub-discipline of operations research aimed at evaluating alternatives in consideration of various criteria. It is used by practically everyone in their daily lives and professional settings. Seeing the great value of MCDM, we conduct a comprehensive review to propel its innovation and development forward. Compared with any other reviews, we do not focus on introducing its methods, but on tracing its evolution and characteristics. As a general rule, every discipline has its own developing laws. They can be understood on various levels and can point out the direction the discipline is heading for. We firmly believe that our work can bring insight into MCDM’s frontiers and trend, which can eventually provide guidance on how to conduct the future research. In the first half of the paper, we investigate MCDM’s paradigm through literature review and colloquially divide its story into four stages: the Stone Age, the Iron Age, the Industrial Age and the New Stage. The first three stages symbolise its debut, growth and prosperity. Each one has distinctive thoughts, techniques and application, and to some extent hints the major works of the next stage. Since the turn of the 21st century, the paradigm has been once again experiencing dramatic changes, suggesting that it is on the threshold of a new era. Thus, in the second half of the work, a bibliometric analysis of the present stage ensues. Put simply, we take a global view of the stage by visualizing the stage’s publication quantity, publication distribution, and research categories. Then we design a snowballing co-citation method to explore its movements. The results demonstrate that MCDM is a dynamic, worldwide study for which China is the most productive country and the USA plays a pivot role in scholar communication. Method reviews, straightforward methods and MCDM-oriented fuzzy sets are predominant frontiers. The application, however, always changes with the requirements of the times. Now, it mainly refers to energy, environment, and supplier selection, while issues like sociology, tourism, education, etc. also emerge at a fast speed. Apart from this, experts have gradually shaken off the fetters of the traditional research style and are increasingly willing to structure methods and select application areas with a more personal touch. In the future, how to improve reviews, methods and fuzzy sets, how to understand and draw inspirations from society needs, and how experts can tailor MCDM to accommodate specific problems might be the pressing concerns.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"54 1","pages":"1087-1122"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84798403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-16DOI: 10.1142/s0219622022500092
N. Maleki, M. Gholamian, S. Yaghoubi
Decision-making is one of the significant and inevitable issues in the most real-world problems. Decision criteria interact in many of these problems, and traditional aggregation techniques, which are usually linear methods, cannot be exploited to consider these interactions and exert correlations between criteria. In such cases, nonadditive aggregation methods have attracted the attention of many researchers. This study presents a novel model based on the best-worst method (BWM) and the multi-criteria fuzzy Choquet integral technique to apply the interaction between the criteria. In the proposed model, we have reduced the effect of the inconsistency rate detected on the fuzzy measure (or Choquet capacity) by taking into account the positive or negative interaction between the criteria.
{"title":"An Integrated Model of BWM and Choquet Integral for Determining Fuzzy Measures in Interacting Criteria","authors":"N. Maleki, M. Gholamian, S. Yaghoubi","doi":"10.1142/s0219622022500092","DOIUrl":"https://doi.org/10.1142/s0219622022500092","url":null,"abstract":"Decision-making is one of the significant and inevitable issues in the most real-world problems. Decision criteria interact in many of these problems, and traditional aggregation techniques, which are usually linear methods, cannot be exploited to consider these interactions and exert correlations between criteria. In such cases, nonadditive aggregation methods have attracted the attention of many researchers. This study presents a novel model based on the best-worst method (BWM) and the multi-criteria fuzzy Choquet integral technique to apply the interaction between the criteria. In the proposed model, we have reduced the effect of the inconsistency rate detected on the fuzzy measure (or Choquet capacity) by taking into account the positive or negative interaction between the criteria.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"66 1","pages":"1061-1086"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81451004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-14DOI: 10.1142/s0219622022500080
Roberto G. Aragón, M. E. Cornejo, Jesús Medina, Juan Moreno García, Eloísa Ramírez-Poussa
A fundamental issue about installation of photovoltaic solar power stations is the optimization of the energy generation and the fault detection, for which different techniques and methodologies have already been developed considering meteorological conditions. This fact implies the use of unstable and difficult predictable variables which may give rise to a possible problem for the plausibility of the proposed techniques and methodologies in particular conditions. In this line, our goal is to provide a decision support system for photovoltaic fault detection avoiding meteorological conditions. This paper has developed a mathematical mechanism based on fuzzy sets in order to optimize the energy production in the photovoltaic facilities, detecting anomalous behaviors in the energy generated by the facilities over time. Specifically, the incorrect and correct behaviors of the photovoltaic facilities have been modeled through the use of different membership mappings. From these mappings, a decision support system based on ordered weighted averaging operators informs of the performances of the facilities per day, by using natural language. Moreover, a state machine is also designed to determine the stage of each facility based on the stages and the performances from previous days. The main advantage of the designed system is that it solves the problem of “constant loss of energy production”, without the consideration of meteorological conditions and being able to be more profitable. Moreover, the system is also scalable and portable, and complements previous works in energy production optimization. Finally, the proposed mechanism has been tested with real data, provided by Grupo Energético de Puerto Real S.A. which is an enterprise in charge of the management of six photovoltaic facilities in Puerto Real, Cádiz, Spain, and good results have been obtained for faulting detection.
光伏太阳能电站安装的一个基本问题是优化发电和故障检测，为此已经开发了不同的技术和方法，考虑到气象条件。这一事实意味着使用不稳定和难以预测的变量，这可能会对所提议的技术和方法在特定条件下的合理性产生问题。在这条线上，我们的目标是为光伏故障检测提供一个避开气象条件的决策支持系统。本文开发了一种基于模糊集的数学机制，以优化光伏发电设施的能源生产，检测设施产生的能源随时间的异常行为。具体而言，通过使用不同的成员映射，对光伏设施的错误和正确行为进行了建模。从这些映射中，一个基于有序加权平均算子的决策支持系统通过使用自然语言通知设施每天的性能。此外，还设计了一个状态机来根据阶段和前几天的性能确定每个设施的阶段。所设计系统的主要优点是解决了“产能不断损失”的问题，无需考虑气象条件，能够获得更高的利润。此外，该系统还具有可扩展性和便携性，并补充了以前在能源生产优化方面的工作。最后，用Grupo energymactico de Puerto real S.A.提供的真实数据对所提出的机制进行了测试，Grupo energymactico de Puerto real S.A.是一家负责管理西班牙Cádiz real港六个光伏设施的企业，在断层检测方面取得了良好的效果。
{"title":"Decision Support System for Photovoltaic Fault Detection Avoiding Meteorological Conditions","authors":"Roberto G. Aragón, M. E. Cornejo, Jesús Medina, Juan Moreno García, Eloísa Ramírez-Poussa","doi":"10.1142/s0219622022500080","DOIUrl":"https://doi.org/10.1142/s0219622022500080","url":null,"abstract":"A fundamental issue about installation of photovoltaic solar power stations is the optimization of the energy generation and the fault detection, for which different techniques and methodologies have already been developed considering meteorological conditions. This fact implies the use of unstable and difficult predictable variables which may give rise to a possible problem for the plausibility of the proposed techniques and methodologies in particular conditions. In this line, our goal is to provide a decision support system for photovoltaic fault detection avoiding meteorological conditions. This paper has developed a mathematical mechanism based on fuzzy sets in order to optimize the energy production in the photovoltaic facilities, detecting anomalous behaviors in the energy generated by the facilities over time. Specifically, the incorrect and correct behaviors of the photovoltaic facilities have been modeled through the use of different membership mappings. From these mappings, a decision support system based on ordered weighted averaging operators informs of the performances of the facilities per day, by using natural language. Moreover, a state machine is also designed to determine the stage of each facility based on the stages and the performances from previous days. The main advantage of the designed system is that it solves the problem of “constant loss of energy production”, without the consideration of meteorological conditions and being able to be more profitable. Moreover, the system is also scalable and portable, and complements previous works in energy production optimization. Finally, the proposed mechanism has been tested with real data, provided by Grupo Energético de Puerto Real S.A. which is an enterprise in charge of the management of six photovoltaic facilities in Puerto Real, Cádiz, Spain, and good results have been obtained for faulting detection.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"213 1","pages":"911-932"},"PeriodicalIF":0.0,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75587210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-10DOI: 10.1142/s0219622022500079
Chao-Lung Yang, Nguyen Thi Phuong Quyen
Point-of-Sale (POS) data analysis is usually used to explore sales performance in business commence. This manuscript aims to combine unsupervised clustering and supervised classification methods in an integrated data analysis framework to analyze the real-world POS data. Clustering method, which is performed on sales dataset, is used to cluster the stores into several groups. The clustering results, data labels, are then combined with other information in store features dataset as the inputs of the classification model which classifies the clustering labels by using store features dataset. Non-dominated sorting generic algorithm-II (NSGA-II) is applied in the framework to employ the multi-objective of clustering and classification. The experimental case study shows clustering results can reveal the hidden structure of sales performance of retail stores while classification can reveal the major factors that effect to the sales performance under different group of retail stores. The correlations between sales clusters and the store information can be obtained sequentially under a series of data analysis with the proposed framework.
销售点(POS)数据分析通常用于商业活动中对销售绩效的研究。本文旨在将无监督聚类和监督分类方法结合在一个集成的数据分析框架中，对真实POS数据进行分析。在销售数据集上执行聚类方法，将商店聚为几组。然后将聚类结果(数据标签)与存储特征数据集中的其他信息相结合，作为分类模型的输入，该模型利用存储特征数据集对聚类标签进行分类。该框架采用非支配排序通用算法- ii (NSGA-II)，实现多目标聚类和分类。实验案例研究表明，聚类结果可以揭示零售商店销售绩效的隐藏结构，而分类可以揭示影响不同零售商店销售绩效的主要因素。在此框架下，通过一系列的数据分析，可以依次获得销售集群与商店信息之间的相关性。
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Pub Date : 2022-01-29DOI: 10.1142/s021962202250002x
Ç. Sivri, Sait Gül, Ozan Rıdvan Aksu
Scientific explorations and research in the Antarctic region have specific issues which need to be handled with special measures. Clothing of the scientists is one of the main problems. The clothes are expected to be enduring against compelling conditions and they must have certain features to ensure the safety and comfort of the scientists. Polar clothing is a field that is yet to be studied with different engineering approaches. To generate a better understanding, the polar clothing can be approached as a multiple criteria decision-making problem because many criteria such as layer number, material type, and waterproofness should be considered while evaluating the various alternatives. In this evaluation, expert judgments are used because no strict objective rules determine the conditions of the polar clothing. Also, possible influences among these criteria should be revealed and considered while reaching a decision. In order to deal with the uncertainty and vagueness of the expert judgments, this study proposes a Pythagorean fuzzy version of DEMATEL which is one of the well-known multiple criteria decision-making tools with the aim of evaluating the related selection attributes affecting the decision and searching for the potential influences among them. Since Pythagorean fuzzy sets provide a wider preference domain to the experts, this version was developed as a contribution to the literature. Also, the decision process is kept Pythagorean fuzzy until a conclusion is reached so that there is no early defuzzification problem. The method’s application on overcoat selection for the Antarctic region reveals the relations among attributes, such as “Water Vapor Permeability”, “All-Weather Protection” and “Performing Best in Dry/Wet State”. A sensitivity analysis is conducted to find the changes in influences.
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Pub Date : 2022-01-29DOI: 10.1142/s0219622022500067
D. Kannan, Revathi Thiyagarajan, G. Shenbagalakshmi
The control plane plays an essential role in the implementation of Software Defined Network (SDN) architecture. Basically, the control plane is an isolated process and operates on control layer. The control layer encompasses controllers which provide a global view of the entire SDN. The Controller selection is more crucial for the network administrator to meet the specific use case. This research work mainly focuses on obtaining a better SDN controller. Initially, the SDN controllers are selected using integrated Analytic Hierarchy Process and Technique for Order Preference Similarity to Ideal Solution (AHP and TOPSIS) method. It facilitates to select minimal number of controllers based on their features in the SDN application. Finally, the performance evaluation is carried out using the CBENCH tool considering the best four ranked controllers obtained from the previous step. In addition, it is validated with the real-time internet topology such as Abilene and ERNET considering the delay factor. The result shows that the “Floodlight” controller responds better for latency and throughput. The selection of an optimum controller-Floodlight, using the real-world Internet topologies, outperforms in obtaining the path with a 28.57% decrease in delay in Abilene and 16.94% in ERNET. The proposed work can be applied in high traffic SDN applications.
控制平面在实现软件定义网络(SDN)体系结构中起着至关重要的作用。基本上，控制平面是一个孤立的过程，并在控制层上运行。控制层包括提供整个SDN全局视图的控制器。对于网络管理员来说，控制器的选择对于满足特定用例更为重要。本文的研究工作主要是为了获得一个更好的SDN控制器。首先，采用层次分析法(AHP)和TOPSIS (Order Preference Similarity to Ideal Solution)方法选择SDN控制器。它便于在SDN应用中根据控制器的特性选择最少数量的控制器。最后，利用CBENCH工具对前一步得到的最佳4个排序控制器进行性能评估。并在考虑延迟因素的实时网络拓扑如Abilene和ERNET上进行了验证。结果表明，“泛光灯”控制器对延迟和吞吐量的响应更好。选择最优控制器-泛光灯，使用现实世界的互联网拓扑，在获得路径方面表现出色，在Abilene中延迟减少28.57%，在ERNET中延迟减少16.94%。该工作可以应用于高流量的SDN应用。
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