The evaluation on the level of smart scenic spots is crucial in the planning and development of smart tourism destinations. However, existing evaluation approaches for smart scenic spots lack scientific rigor and practical applicability. To address this issue, this study proposes a comprehensive evaluation method that combines qualitative analysis and quantitative calculation to establish a weighted index system for assessing the level of smart scenic spots. The approach utilizes a fuzzy comprehensive evaluation model, integrating linear weighted comprehensive evaluation methods, fuzzy mathematics, and the concept of two-tuple. Moreover, the concept of level eigenvalue is introduced to facilitate the evaluation of smart scenic spots. The proposed two-tuple model and evaluation method demonstrate strong operability, applicability, and promotional potential, as evidenced through example calculations and analysis.
{"title":"A Two-Tuple Linguistic Model for the Smart Scenic Spots Evaluation","authors":"Li Tang","doi":"10.4018/ijfsa.329959","DOIUrl":"https://doi.org/10.4018/ijfsa.329959","url":null,"abstract":"The evaluation on the level of smart scenic spots is crucial in the planning and development of smart tourism destinations. However, existing evaluation approaches for smart scenic spots lack scientific rigor and practical applicability. To address this issue, this study proposes a comprehensive evaluation method that combines qualitative analysis and quantitative calculation to establish a weighted index system for assessing the level of smart scenic spots. The approach utilizes a fuzzy comprehensive evaluation model, integrating linear weighted comprehensive evaluation methods, fuzzy mathematics, and the concept of two-tuple. Moreover, the concept of level eigenvalue is introduced to facilitate the evaluation of smart scenic spots. The proposed two-tuple model and evaluation method demonstrate strong operability, applicability, and promotional potential, as evidenced through example calculations and analysis.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47795651","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}
It is difficult to choose an appropriate house for homebuyers. This is due to the difficulty of evaluating the multitude of factors, such as price, location, size, and so on. In order to help homebuyers in choosing an appropriate house, a method integrating the interval-valued Pythagorean FAHP and FTOPSIS is proposed. In the proposed approach, the evaluation criteria were determined by the experts, and the linguistic variables of interval-valued Pythagorean fuzzy numbers were used in the evaluations of the homebuyers and experts. A new distance between two IVPFNs is proposed. The weights of the evaluation criteria were determined by the interval-valued Pythagorean FAHP method by the homebuyers, and house selections were evaluated by interval-valued Pythagorean FTOPSIS method taking into account the new distance. Finally, a case study was executed to verify the feasibility of the proposed approach. The case study results reveal that the weights of criteria obtained by FAHP are not the same according to opinions of the different homebuyers.
{"title":"An Improved TOPSIS Method Based on a New Distance Measure and Its Application to the House Selection Problem","authors":"You En Wang, Xiao Guo Chen","doi":"10.4018/ijfsa.328529","DOIUrl":"https://doi.org/10.4018/ijfsa.328529","url":null,"abstract":"It is difficult to choose an appropriate house for homebuyers. This is due to the difficulty of evaluating the multitude of factors, such as price, location, size, and so on. In order to help homebuyers in choosing an appropriate house, a method integrating the interval-valued Pythagorean FAHP and FTOPSIS is proposed. In the proposed approach, the evaluation criteria were determined by the experts, and the linguistic variables of interval-valued Pythagorean fuzzy numbers were used in the evaluations of the homebuyers and experts. A new distance between two IVPFNs is proposed. The weights of the evaluation criteria were determined by the interval-valued Pythagorean FAHP method by the homebuyers, and house selections were evaluated by interval-valued Pythagorean FTOPSIS method taking into account the new distance. Finally, a case study was executed to verify the feasibility of the proposed approach. The case study results reveal that the weights of criteria obtained by FAHP are not the same according to opinions of the different homebuyers.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46335408","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}
Green total factor productivity (GTFP) is a key metric in assessing the high-quality development of the economy. The authors investigate the configuration pathways by which GTFP can be enhanced. The researchers used data from 30 provinces and municipalities in China (excluding Tibet, Hong Kong, Macau, and Taiwan) as case studies. This study demonstrates that GTFP is influenced by six factors, such as regional innovation ability and digital financial development. These factors contribute to three configuration pathways for achieving high GTFP: innovation market-oriented, economic growth-oriented, and integrated synergistic pathways. Meanwhile, there is consistency and substitutability between some factors. The innovation of this paper lies in the introduction of the fuzzy set qualitative comparative analysis (fsQCA) method into the research on GTFP. It can enrich the theoretical research in the field of GTFP and provide valuable reference and pathway options for improving GTFP in China and other countries with similar economic development patterns.
{"title":"Configuration Pathways to Enhance Green Total Factor Productivity","authors":"Yani Guo, Yunjian Zheng","doi":"10.4018/ijfsa.326798","DOIUrl":"https://doi.org/10.4018/ijfsa.326798","url":null,"abstract":"Green total factor productivity (GTFP) is a key metric in assessing the high-quality development of the economy. The authors investigate the configuration pathways by which GTFP can be enhanced. The researchers used data from 30 provinces and municipalities in China (excluding Tibet, Hong Kong, Macau, and Taiwan) as case studies. This study demonstrates that GTFP is influenced by six factors, such as regional innovation ability and digital financial development. These factors contribute to three configuration pathways for achieving high GTFP: innovation market-oriented, economic growth-oriented, and integrated synergistic pathways. Meanwhile, there is consistency and substitutability between some factors. The innovation of this paper lies in the introduction of the fuzzy set qualitative comparative analysis (fsQCA) method into the research on GTFP. It can enrich the theoretical research in the field of GTFP and provide valuable reference and pathway options for improving GTFP in China and other countries with similar economic development patterns.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48845287","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 China, the expressways have been built a lot over the past decade. The construction of the expressway suffers from usual cost overrun. There are many factors of different stakeholders influencing the construction cost of expressways, and it is difficult to control all of them. Therefore, it is necessary to identify the key factors causing expressway construction cost overrun and take corresponding cost control measures. In this article, decision-making trial and evaluation laboratory (DEMATEL), interpretative structural modeling method (ISM) and system dynamics (SD) are integrated as DEMATEL-ISM-SD method to identify the key driving factors of expressway construction cost overrun and simulate the interactions of these factors to find the cost control measures. A case in China has been selected as an example to demonstrate how to use the proposed method. As a result, six key factors from different stakeholders are found. Then, six corresponding measures are put forward. This study can provide guidance for expressway construction cost control.
{"title":"Research on Influencing Factors and Control Measures of Construction Cost Overrun in China's Expressway Projects","authors":"Shiwei Chen, Xingyue Fan, Binqing Cai","doi":"10.4018/ijfsa.325067","DOIUrl":"https://doi.org/10.4018/ijfsa.325067","url":null,"abstract":"In China, the expressways have been built a lot over the past decade. The construction of the expressway suffers from usual cost overrun. There are many factors of different stakeholders influencing the construction cost of expressways, and it is difficult to control all of them. Therefore, it is necessary to identify the key factors causing expressway construction cost overrun and take corresponding cost control measures. In this article, decision-making trial and evaluation laboratory (DEMATEL), interpretative structural modeling method (ISM) and system dynamics (SD) are integrated as DEMATEL-ISM-SD method to identify the key driving factors of expressway construction cost overrun and simulate the interactions of these factors to find the cost control measures. A case in China has been selected as an example to demonstrate how to use the proposed method. As a result, six key factors from different stakeholders are found. Then, six corresponding measures are put forward. This study can provide guidance for expressway construction cost control.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49591208","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}
Node localization process is a crucial prerequisite in the area of Wireless Sensor Networks (WSNs). The algorithms for node localization process can either range-based or range-free. Range-free algorithms are preferred over range-based ones due to their cost-effectiveness. DV-Hop along with its variants is normally well-liked range-free algorithm because of its straightforwardness, scalability and distributed nature, but it has some disadvantages such as poor accuracy and high-power utilization. To deal with these limitations, this paper introduces an algorithm, called GWOGN-LA. GWOGN-LA improves accuracy by applying Grey-Wolf Optimization and Gauss-Newton method. The proposed algorithm restricts the forwarding of packets in order to limit energy consumption. Simulation results show that given proposal outperforms other state-of-art algorithms in terms of accuracy and power consumption.
{"title":"Energy Efficient Node Localization Algorithm based on Gauss-Newton Method and Grey Wolf Optimization Algorithm","authors":"","doi":"10.4018/ijfsa.296591","DOIUrl":"https://doi.org/10.4018/ijfsa.296591","url":null,"abstract":"Node localization process is a crucial prerequisite in the area of Wireless Sensor Networks (WSNs). The algorithms for node localization process can either range-based or range-free. Range-free algorithms are preferred over range-based ones due to their cost-effectiveness. DV-Hop along with its variants is normally well-liked range-free algorithm because of its straightforwardness, scalability and distributed nature, but it has some disadvantages such as poor accuracy and high-power utilization. To deal with these limitations, this paper introduces an algorithm, called GWOGN-LA. GWOGN-LA improves accuracy by applying Grey-Wolf Optimization and Gauss-Newton method. The proposed algorithm restricts the forwarding of packets in order to limit energy consumption. Simulation results show that given proposal outperforms other state-of-art algorithms in terms of accuracy and power consumption.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42982384","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, we shall enlighten the complex q-rung orthopair fuzzy sets, which are preferred to be enhanced of the complex intuitionistic fuzzy sets and the complex Pythagorean fuzzy sets, individually. Now our intention is regarding the buildup of certain innovative operational laws and their related weighted aggregation operators based on the complex q-rung orthopair fuzzy (CQROF) information. In this regard, at the incredibly starting, we characterize certain original neutral or fair operational laws that involve the model of proportional distribution to accomplish a neutral or fair usage to the truth and falsity functions of CQROFSs. Consequently, with these operations, we acquire CQROF weighted fairly aggregation (CQROFWFA) and CQROF ordered weighted fairly aggregation (CQROFOWFA) operators which can neutrally or fairly provide the truth and falsity degrees. We implement an MADM (multi-attribute decision-making) methodology with multiple decision makers and partial weight knowledge in the structure of CQROFSs.
{"title":"A Multi-Attribute Decision-Making Procedure Based on Complex q-Rung Orthopair Fuzzy Weighted Fairly Aggregation Information","authors":"","doi":"10.4018/ijfsa.303561","DOIUrl":"https://doi.org/10.4018/ijfsa.303561","url":null,"abstract":"In this study, we shall enlighten the complex q-rung orthopair fuzzy sets, which are preferred to be enhanced of the complex intuitionistic fuzzy sets and the complex Pythagorean fuzzy sets, individually. Now our intention is regarding the buildup of certain innovative operational laws and their related weighted aggregation operators based on the complex q-rung orthopair fuzzy (CQROF) information. In this regard, at the incredibly starting, we characterize certain original neutral or fair operational laws that involve the model of proportional distribution to accomplish a neutral or fair usage to the truth and falsity functions of CQROFSs. Consequently, with these operations, we acquire CQROF weighted fairly aggregation (CQROFWFA) and CQROF ordered weighted fairly aggregation (CQROFOWFA) operators which can neutrally or fairly provide the truth and falsity degrees. We implement an MADM (multi-attribute decision-making) methodology with multiple decision makers and partial weight knowledge in the structure of CQROFSs.","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":"48356266","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}
This paper proposes the forecasting model for the time series based on the improvement of the adaptive neuro-fuzzy inference system (ANFIS) method and the fuzzy cluster analysis (FCA) algorithm. In this model, (i) the authors firstly find the appropriate number of groups for the series. Then, (ii) this study determines the specific elements for each group based on the established fuzzy relationship. Finally, using the results of (i) and (ii) as the input variables, the authors improve the iterations of ANFIS method. Combining the above improvements, the efficient forecasting model for time series is proposed. The proposed model is illustrated step by step through a numerical example, and implemented rapidly by the established Matlab procedure. The experiment obtained from this model shows the outstanding advantages in comparison with the existing ones. This research can be applied well to forecast for many fields in reality.
{"title":"Improving the ANFIS Forecating Model for Time Series Based on the Fuzzy Cluster Analysis Algorithm","authors":"Dinh Toan Pham, Dan Nguyenthihong, T. Vovan","doi":"10.4018/ijfsa.313602","DOIUrl":"https://doi.org/10.4018/ijfsa.313602","url":null,"abstract":"This paper proposes the forecasting model for the time series based on the improvement of the adaptive neuro-fuzzy inference system (ANFIS) method and the fuzzy cluster analysis (FCA) algorithm. In this model, (i) the authors firstly find the appropriate number of groups for the series. Then, (ii) this study determines the specific elements for each group based on the established fuzzy relationship. Finally, using the results of (i) and (ii) as the input variables, the authors improve the iterations of ANFIS method. Combining the above improvements, the efficient forecasting model for time series is proposed. The proposed model is illustrated step by step through a numerical example, and implemented rapidly by the established Matlab procedure. The experiment obtained from this model shows the outstanding advantages in comparison with the existing ones. This research can be applied well to forecast for many fields in reality.","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":"43138624","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 property of fuzzy sets is approached as an instrument for the construction and finding of the value of the multi-objective linear fractional programming problem (MOLFPP), which is one of the systems of decision problems that are covered by fuzzy dealings. The paper introduces an approach to convert and solve such a problem by modifying the symmetric fuzzy approach, suggesting an algorithm, and demonstrating how the fuzzy linear fractional programming problem (FLFPP) can be answered without raising the arithmetic potency. Also, it introduces a technique that uses an optimal mean to convert MOLFPP to a single LFPP by modifying the symmetric fuzzy approach. A numeric sample is provided to clarify the qualification of the suggested approach and compare the results with other techniques, which are solved by using a computer application to test the algorithm of the above method, indicating that the results obtained by the fuzzy environment are promising.
{"title":"Modify Symmetric Fuzzy Approach to Solve the Multi-Objective Linear Fractional Programming Problem","authors":"Maher A. Nawkhass, N. A. Sulaiman","doi":"10.4018/ijfsa.312243","DOIUrl":"https://doi.org/10.4018/ijfsa.312243","url":null,"abstract":"The property of fuzzy sets is approached as an instrument for the construction and finding of the value of the multi-objective linear fractional programming problem (MOLFPP), which is one of the systems of decision problems that are covered by fuzzy dealings. The paper introduces an approach to convert and solve such a problem by modifying the symmetric fuzzy approach, suggesting an algorithm, and demonstrating how the fuzzy linear fractional programming problem (FLFPP) can be answered without raising the arithmetic potency. Also, it introduces a technique that uses an optimal mean to convert MOLFPP to a single LFPP by modifying the symmetric fuzzy approach. A numeric sample is provided to clarify the qualification of the suggested approach and compare the results with other techniques, which are solved by using a computer application to test the algorithm of the above method, indicating that the results obtained by the fuzzy environment are promising.","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":"48409400","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}
Not only are daily life activities being disrupted by the COVID-19 pandemic, but so are educational systems. To some extent, encouraging the use of e-learning technology has helped to stabilize the situation. The suitable selection of the appropriate e-learning platform for the institution depends upon different criteria with uncertain information. As type 2 intuitionistic fuzzy (T2IF) sets are conceptually intriguing and they provide a lot of expressive potential for dealing with uncertainty in expert knowledge, this work investigates the best e-learning tool for higher education in a type 2 intuitionistic fuzzy environment. A type-2 intuitionistic fuzzy einstein interactive weighted averaging (T2IFEIWA) operator is proposed for this purpose. The desirable properties of the proposed aggregation operator are validated, and the operator is used to choose the best e-learning tool.
{"title":"Selection of Optimal E-Learning Tool with Type-2 Intuitionistic Fuzzy Einstein Interactive Weighted Aggregation Operator","authors":"Sireesha Veeramachaneni, A. V","doi":"10.4018/ijfsa.312242","DOIUrl":"https://doi.org/10.4018/ijfsa.312242","url":null,"abstract":"Not only are daily life activities being disrupted by the COVID-19 pandemic, but so are educational systems. To some extent, encouraging the use of e-learning technology has helped to stabilize the situation. The suitable selection of the appropriate e-learning platform for the institution depends upon different criteria with uncertain information. As type 2 intuitionistic fuzzy (T2IF) sets are conceptually intriguing and they provide a lot of expressive potential for dealing with uncertainty in expert knowledge, this work investigates the best e-learning tool for higher education in a type 2 intuitionistic fuzzy environment. A type-2 intuitionistic fuzzy einstein interactive weighted averaging (T2IFEIWA) operator is proposed for this purpose. The desirable properties of the proposed aggregation operator are validated, and the operator is used to choose the best e-learning tool.","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":"44437009","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":"Cloud Service Provider Selection Using Fuzzy Data Envelopment Analysis Based on SMI Attributes","authors":"T. Thasni, C. Kalaiarasan, K. Venkatesh","doi":"10.4018/ijfsa.312239","DOIUrl":"https://doi.org/10.4018/ijfsa.312239","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":"70458097","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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