Manh Hien Luc, Quang Vinh Nguyen, Quang Hung, Tran Van Trang
The objective of this study is to evaluate the dimensions in an apartment selection model by integrating fuzzy AHP and fuzzy TOPSIS methods. From the steps of fuzzy AHP and fuzzy TOPSIS, the study explores that the most important dimensions in the apartment selection model are the design and quality of the apartment. Moreover, the landscape environment, security, and people's intellect, and selling price are three dimensions ranked as the second group of important factors. The third ranking group of important dimensions are apartment location, utility service, and transportation convenience. Finally, the less important dimension is investor brand. In addition, this study result shows that Vin group investors have the highest satisfaction degree value and the lowest gap degree, with the second being the FLC group and the third being the Nam Cuong group. Discussions, conclusions, limitations of the study, and suggestions for future studies are also included in this study.
{"title":"Evaluation of an Apartment Selection Model by Integrating Fuzzy AHP and Fuzzy TOPSIS","authors":"Manh Hien Luc, Quang Vinh Nguyen, Quang Hung, Tran Van Trang","doi":"10.4018/ijfsa.313964","DOIUrl":"https://doi.org/10.4018/ijfsa.313964","url":null,"abstract":"The objective of this study is to evaluate the dimensions in an apartment selection model by integrating fuzzy AHP and fuzzy TOPSIS methods. From the steps of fuzzy AHP and fuzzy TOPSIS, the study explores that the most important dimensions in the apartment selection model are the design and quality of the apartment. Moreover, the landscape environment, security, and people's intellect, and selling price are three dimensions ranked as the second group of important factors. The third ranking group of important dimensions are apartment location, utility service, and transportation convenience. Finally, the less important dimension is investor brand. In addition, this study result shows that Vin group investors have the highest satisfaction degree value and the lowest gap degree, with the second being the FLC group and the third being the Nam Cuong group. Discussions, conclusions, limitations of the study, and suggestions for future studies are also included in this study.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47221018","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}
{"title":"Interval-Fuzzy Fixed Charge Transportation Problems","authors":"G. Sudha, K. Ganesan","doi":"10.4018/ijfsa.306281","DOIUrl":"https://doi.org/10.4018/ijfsa.306281","url":null,"abstract":"","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70457925","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}
In this study, a fuzzy cooperative continuous static game (PQFCCSG) with n players having fuzzy parameters in all of the cost functions and the right- hand-side of constraints is characterized. Their fuzzy parameters are represented by piecewise quadratic fuzzy numbers. The α-pareto optimal solution concept is specified. In addition, the stability sets of the first and second kind without differentiability are conceptualized and established. An illustrated numerical example is discussed for proper understanding and interpretation of the proposed concept.
{"title":"A Study on Cooperative Continuous Static Games without Differentiability under Fuzzy Environment","authors":"","doi":"10.4018/ijfsa.292462","DOIUrl":"https://doi.org/10.4018/ijfsa.292462","url":null,"abstract":"In this study, a fuzzy cooperative continuous static game (PQFCCSG) with n players having fuzzy parameters in all of the cost functions and the right- hand-side of constraints is characterized. Their fuzzy parameters are represented by piecewise quadratic fuzzy numbers. The α-pareto optimal solution concept is specified. In addition, the stability sets of the first and second kind without differentiability are conceptualized and established. An illustrated numerical example is discussed for proper understanding and interpretation of the proposed concept.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47983616","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}
{"title":"Blockchain Concepts on Computer Vision With Human-Computer Interaction and Secured Data-Sharing Framework","authors":"P. Kaliyamoorthy, A. Ramalingam","doi":"10.4018/ijfsa.312240","DOIUrl":"https://doi.org/10.4018/ijfsa.312240","url":null,"abstract":"","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70458411","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}
The aim of multiple criteria decision aiding (MCDA) is to assist decision makers (DMs) to make rational decisions with respect to their preferences. In fact, the ranking approaches are the most used ones nowadays in the MCDA field because they are easy to understand by DMs and they are based on realistic assumptions. The hierarchical additive ratio assessment (ARAS-H) method is a ranking method. It represents an extension of the ARAS method in case of hierarchically structured criteria. However, most often, the DM is unable to provide precise performance values. Henceforth, in order to facilitate the task for him, he is asked to provide linguistic variables. Thus, the authors adopted the fuzzy logic. As a matter of fact, the fuzzy set theory takes into account the subjectivity of experts' ‘judgments.' In the light of the above, the fuzzy ARAS-H (F-ARAS-H) algorithm was developed as an extension of the ARAS-H method in a context of a fuzzy environment. To discuss the feasibility of the proposed algorithm, a case study on the selection of a green supplier was presented.
{"title":"Multiple Hierarchically Structured Criteria in ARAS Method Under Fuzzy Environment","authors":"Maroua Ghram, H. Frikha","doi":"10.4018/ijfsa.315013","DOIUrl":"https://doi.org/10.4018/ijfsa.315013","url":null,"abstract":"The aim of multiple criteria decision aiding (MCDA) is to assist decision makers (DMs) to make rational decisions with respect to their preferences. In fact, the ranking approaches are the most used ones nowadays in the MCDA field because they are easy to understand by DMs and they are based on realistic assumptions. The hierarchical additive ratio assessment (ARAS-H) method is a ranking method. It represents an extension of the ARAS method in case of hierarchically structured criteria. However, most often, the DM is unable to provide precise performance values. Henceforth, in order to facilitate the task for him, he is asked to provide linguistic variables. Thus, the authors adopted the fuzzy logic. As a matter of fact, the fuzzy set theory takes into account the subjectivity of experts' ‘judgments.' In the light of the above, the fuzzy ARAS-H (F-ARAS-H) algorithm was developed as an extension of the ARAS-H method in a context of a fuzzy environment. To discuss the feasibility of the proposed algorithm, a case study on the selection of a green supplier was presented.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47817628","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}
The present research work explores a pentagonal dense fuzzy set (PDFS) and a novel defuzzification method for the same based on cut. The proposed concept is then applied in the field of inventory management by considering an economic order quantity (EOQ) model. To comprehend the uncertainty associated with the EOQ model, a pentagonal fuzzy number is utilized. Based on PDFS, cloud pentagonal fuzzy number (CPFN) is defined and the model is developed by considering demand as CPFN. The developed models are being tested numerically and graphically to understand the significance of the concept of CPFN. Sensitivity analysis is performed to identify the most critical parameters. A comparative analysis is made to figure out the difference between the models.
{"title":"A New Defuzzification Method for Cost Analysis of Economic Order Quantity under Cloud Pentagonal Fuzzy Demand","authors":"","doi":"10.4018/ijfsa.297027","DOIUrl":"https://doi.org/10.4018/ijfsa.297027","url":null,"abstract":"The present research work explores a pentagonal dense fuzzy set (PDFS) and a novel defuzzification method for the same based on cut. The proposed concept is then applied in the field of inventory management by considering an economic order quantity (EOQ) model. To comprehend the uncertainty associated with the EOQ model, a pentagonal fuzzy number is utilized. Based on PDFS, cloud pentagonal fuzzy number (CPFN) is defined and the model is developed by considering demand as CPFN. The developed models are being tested numerically and graphically to understand the significance of the concept of CPFN. Sensitivity analysis is performed to identify the most critical parameters. A comparative analysis is made to figure out the difference between the models.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42522187","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}
The real life problems are multidimensional in nature and may involve some ambiguity when it comes to decision making. It is, therefore, difficult to design the evaluation criteria precisely and determine the exact value of the attributes in the multicriteria analysis. The intuitionistic fuzzy set (IFS) achieved great success in treating this kind of ambiguity in a great deal of research. The study of sorting problems is an active research issue in the multiple criteria decision aid (MCDA) area. This paper investigated one of the sorting methods, FLOWSORT, and extended it to the multicriteria group decision making based on the output aggregation of the individual sorting results. The rating of each alternative was described through linguistic terms that can be expressed in triangular intuitionistic fuzzy numbers. An illustrative example as well as an empirical comparison with other multi-criteria decision making methods were carried out to validate our extension.
{"title":"The Intuitionistic Fuzzy FlowSort Method for Multicriteria Group Decision Making","authors":"Remadi Daami Fedia, Frikha Moalla Hela","doi":"10.4018/ijfsa.285554","DOIUrl":"https://doi.org/10.4018/ijfsa.285554","url":null,"abstract":"The real life problems are multidimensional in nature and may involve some ambiguity when it comes to decision making. It is, therefore, difficult to design the evaluation criteria precisely and determine the exact value of the attributes in the multicriteria analysis. The intuitionistic fuzzy set (IFS) achieved great success in treating this kind of ambiguity in a great deal of research. The study of sorting problems is an active research issue in the multiple criteria decision aid (MCDA) area. This paper investigated one of the sorting methods, FLOWSORT, and extended it to the multicriteria group decision making based on the output aggregation of the individual sorting results. The rating of each alternative was described through linguistic terms that can be expressed in triangular intuitionistic fuzzy numbers. An illustrative example as well as an empirical comparison with other multi-criteria decision making methods were carried out to validate our extension.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48116230","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}
The risk assessment of liquefied natural gas (LNG) transportation routes has raised researchers' concerns in recent years, which is a group multi-criteria decision-making (GMCDM) problems that involves experts' opinions from different fields. To improve the effectiveness in evaluating process, this paper proposes a risk assessment method to recognize the potential risks and selects the best LNG transportation route. Firstly, the authors construct the systematic risk evaluation indices, including four first-level indices (political, economic, transportation, and operation and management risks) and nine second-level indices. Then a novel risk assessment method of the LNG transportation route is developed, including opinion representation, consensus measurement and detection, personalized feedback, and selection process. Finally, a scenario analysis is provided to model the risk evaluation process and demonstrate the soundness and applicability of the presented model.
{"title":"LNG Transportation Routes Risk Assessment Based on Group Decision Making","authors":"You Dong, Shiqun Ma, Jianfeng Gao","doi":"10.4018/ijfsa.309423","DOIUrl":"https://doi.org/10.4018/ijfsa.309423","url":null,"abstract":"The risk assessment of liquefied natural gas (LNG) transportation routes has raised researchers' concerns in recent years, which is a group multi-criteria decision-making (GMCDM) problems that involves experts' opinions from different fields. To improve the effectiveness in evaluating process, this paper proposes a risk assessment method to recognize the potential risks and selects the best LNG transportation route. Firstly, the authors construct the systematic risk evaluation indices, including four first-level indices (political, economic, transportation, and operation and management risks) and nine second-level indices. Then a novel risk assessment method of the LNG transportation route is developed, including opinion representation, consensus measurement and detection, personalized feedback, and selection process. Finally, a scenario analysis is provided to model the risk evaluation process and demonstrate the soundness and applicability of the presented model.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44737866","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}
Feng Yan, Xiaoqiang Zhou, Yongzhi Wang, L. Chen, Wu-Xu Li
Distance measures have recently been studied in-depth within the context of hesitant fuzzy sets. The authors analyze existing research on the distance measures of hesitant fuzzy sets and identify several limitations. This paper proposes a new distance measure for hesitant fuzzy sets to overcome these shortcomings. First, a new hesitance degree with better accuracy and applicability is defined. Then, a new method for measuring the distance between hesitant fuzzy sets is proposed by considering the hesitance degree. On this basis, an improved hesitant fuzzy K-means clustering algorithm is introduced to classify hesitant fuzzy sets. Finally, an example is given to illustrate the specific implementation process of the clustering method, and a comparative study on the example is conducted.
{"title":"Novel Distance Measure for Hesitant Fuzzy Sets and Its Application to K-Means Clustering","authors":"Feng Yan, Xiaoqiang Zhou, Yongzhi Wang, L. Chen, Wu-Xu Li","doi":"10.4018/ijfsa.312241","DOIUrl":"https://doi.org/10.4018/ijfsa.312241","url":null,"abstract":"Distance measures have recently been studied in-depth within the context of hesitant fuzzy sets. The authors analyze existing research on the distance measures of hesitant fuzzy sets and identify several limitations. This paper proposes a new distance measure for hesitant fuzzy sets to overcome these shortcomings. First, a new hesitance degree with better accuracy and applicability is defined. Then, a new method for measuring the distance between hesitant fuzzy sets is proposed by considering the hesitance degree. On this basis, an improved hesitant fuzzy K-means clustering algorithm is introduced to classify hesitant fuzzy sets. Finally, an example is given to illustrate the specific implementation process of the clustering method, and a comparative study on the example is conducted.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41952084","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}
The consensus of randomness and ambiguity exists in real world problems. To depict fuzziness, randomness and statistical ambiguity in a single framework, we develop an interactive approach to MCDM method, in which assessment of alternative over attributes are provided by probabilistic hesitant fuzzy elements (PHFEs). This method provides a tool to the decision makers for reasonable ranking of alternatives. The core intention of this paper is to define a series of novel distance and similarity measures and score function for PHFEs. To demonstrate the effectiveness of developed model, a real case study is taken as an example. To completely describe statistical and non-statistical uncertainty, suitable probability distribution function is associated with each element of constructed HFSs. The proposed method is more superior to other MCDM methods, because of introducing probabilistic information in HFEs, which can be helpful to ensure the integrality and accurateness of hesitant fuzzy information.
{"title":"Novel Distance and Similarity Measures for Probabilistic Hesitant Fuzzy Set and Its Applications in Stock Selection Problems","authors":"","doi":"10.4018/ijfsa.302122","DOIUrl":"https://doi.org/10.4018/ijfsa.302122","url":null,"abstract":"The consensus of randomness and ambiguity exists in real world problems. To depict fuzziness, randomness and statistical ambiguity in a single framework, we develop an interactive approach to MCDM method, in which assessment of alternative over attributes are provided by probabilistic hesitant fuzzy elements (PHFEs). This method provides a tool to the decision makers for reasonable ranking of alternatives. The core intention of this paper is to define a series of novel distance and similarity measures and score function for PHFEs. To demonstrate the effectiveness of developed model, a real case study is taken as an example. To completely describe statistical and non-statistical uncertainty, suitable probability distribution function is associated with each element of constructed HFSs. The proposed method is more superior to other MCDM methods, because of introducing probabilistic information in HFEs, which can be helpful to ensure the integrality and accurateness of hesitant fuzzy information.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43051852","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}
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