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Int. J. Fuzzy Syst. Appl.最新文献

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Bilateral Matching Decision-Making Method Considering Regret Avoidance in Second-Hand Transactions 考虑后悔规避的二手交易双边匹配决策方法
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-05-19 DOI: 10.4018/ijfsa.323564
Rui Wang, Juan Liang
{"title":"Bilateral Matching Decision-Making Method Considering Regret Avoidance in Second-Hand Transactions","authors":"Rui Wang, Juan Liang","doi":"10.4018/ijfsa.323564","DOIUrl":"https://doi.org/10.4018/ijfsa.323564","url":null,"abstract":"Effective methods of bilateral matching decision-making could make the second-hand transaction market and platforms more dynamic and healthier for development. However, the loss of description about the characteristics of sellers and buyers and the weight information of their inner preference can affect the matching result. By developing a method for a second-hand transaction, this paper proposes a novel approach that considers the matching parties' psychologies, which can improve the matching efficiency. A mathematical model of seller and buyer is performed, and then the price and other evaluation indicators of sellers and buyers are described by five different types. A bilateral matching multi-objective decision-making model is constructed and solved. A real case study of property trade platform is presented to illustrate how the proposed approach could be applied in practice. The results of this research indicate that the proposed approach is a useful tool for matching the sellers and buyers and has substantial practical application.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130925745","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}
引用次数: 0
A Calibrated Linguistic Semantic Based on Group Consensus Decision Making for FMEA of Industrial Internet Platform 基于群体共识的工业互联网平台FMEA校正语义决策
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-04-20 DOI: 10.4018/ijfsa.322022
Jian Wu, Jun Chen, Jin Fang, Tian Gai, Mingshuo Cao
{"title":"A Calibrated Linguistic Semantic Based on Group Consensus Decision Making for FMEA of Industrial Internet Platform","authors":"Jian Wu, Jun Chen, Jin Fang, Tian Gai, Mingshuo Cao","doi":"10.4018/ijfsa.322022","DOIUrl":"https://doi.org/10.4018/ijfsa.322022","url":null,"abstract":"Failure mode and effects analysis (FMEA) is a powerful risk management tool and engineering technique for eliminating potential failures. This paper aims to improve FMEA by introducing the calibrated linguistic semantic (CIS) and a consensus reaching process with minimum adjustment cost. CIS can effectively solve the problem that different individuals may have different understandings of the same term, and the consensus reaching process can reduce the potential inconsistency and conflict to make the result of rank more accurate and convincing. A novel criteria weight allocation method based on the performance of alternatives is used to obtain the relative weights of risk factors (RF), which is not only based on the function framework but also can obtain the relative weight of RFs through the evaluation matrix directly. Then, the proposed FMEA framework is applied to the industrial internet platform. Finally, the comparisons between the proposed and other methods are presented to demonstrate the effectiveness and advantages of the new method.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"EMC-8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121010563","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}
引用次数: 0
Structure Analysis of General Type-2 Fuzzy Controller and Its Application 通用2型模糊控制器的结构分析及其应用
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-03-24 DOI: 10.4018/ijfsa.319813
J. Shi
{"title":"Structure Analysis of General Type-2 Fuzzy Controller and Its Application","authors":"J. Shi","doi":"10.4018/ijfsa.319813","DOIUrl":"https://doi.org/10.4018/ijfsa.319813","url":null,"abstract":"In this paper, a general type-2 fuzzy controller is proposed. The proposed general type-2 fuzzy controller is based on α-plane representation, which converts the centroid of general type-2 fuzzy sets to centroids of several interval type-2 fuzzy sets. Also, the mathematical expression of general type-2 fuzzy controller is derived by fuzzy product operate and NT type reduction. By the mathematical expression, the relation between general type-2 fuzzy controller output with parameter of triangular secondary membership function is discussed. Finally, the control performances of proposed general type-2 fuzzy controller are compared with conventional PID controller, tradition type-1 fuzzy controller, and interval type-2 fuzzy controller. Furthermore, to show the effective and practical of the proposed controller, a nonlinear inverted pendulum system is tested. The simulation results show that general type-2 fuzzy controller achieves better control efforts than other compared controllers.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124404818","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}
引用次数: 0
A Multi-Step Interaction Opinion Dynamics Group Decision-Making Method and Its Application in Art Evaluation 多步骤互动意见动态群体决策方法及其在艺术评价中的应用
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-03-22 DOI: 10.4018/ijfsa.320485
Yingtian Li
{"title":"A Multi-Step Interaction Opinion Dynamics Group Decision-Making Method and Its Application in Art Evaluation","authors":"Yingtian Li","doi":"10.4018/ijfsa.320485","DOIUrl":"https://doi.org/10.4018/ijfsa.320485","url":null,"abstract":"Due to the development of intelligent decision-making, social network group decision making (SNGDM) has become increasingly valued. Self-persistence is a significant topic in SNGDM problems, while it is ignored in most existing research. Besides, existing opinion evolution models often ignore high-order interactions because they assume individuals only communicate with their friends or neighbors. With these issues in mind, the authors propose a multi-step interaction opinion dynamics model to manage the consensus in SNGDM problem with self-persistence evolution. Given the decision makers' social network information, the centrality degree, interaction strength, and high-order interactions are combined to construct a social influence network. Inspired by the social influence model, the authors develop an opinion dynamic consensus model which also describes the evolution of self-persistence in a group of decision makers. Finally, an example and detailed simulation experiment are presented to demonstrate the efficiency of the proposed consensus model.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131277389","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}
引用次数: 0
An Advanced Entropy Measure of IFSs via Similarity Measure 一种基于相似性测度的ifs熵测度方法
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-03-10 DOI: 10.4018/ijfsa.319712
Pranjal Talukdar, P. Dutta
{"title":"An Advanced Entropy Measure of IFSs via Similarity Measure","authors":"Pranjal Talukdar, P. Dutta","doi":"10.4018/ijfsa.319712","DOIUrl":"https://doi.org/10.4018/ijfsa.319712","url":null,"abstract":"The Entropy measure of an intuitionistic fuzzy set (IFS) plays a significant role in decision making sciences, for instance, medical diagnosis, pattern recognition, criminal investigation, etc. The inadequate nature of an entropy measure may lead to some invalid results. Therefore, it is significant to use an efficient entropy measure for studying various decision-making problems under IFS environment. This paper first proposes a novel similarity measure for IFS. Based on the proposed similarity measure, an advanced entropy measure is defined with a different axiomatic approach. This axiomatic approach allows us to measure an IFS's entropy with the help of a similarity measure. To show the efficiency of the proposed similarity measure, a comparative study is performed with the existing similarity measures. Some structural linguistic variables are taken as examples to show the validity and consistency of the proposed entropy measure along with the existing entropy measures. Finally, based on the proposed entropy measure, a multi-criteria decision-making problem is performed.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"426 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116187182","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}
引用次数: 0
On t-Intuitionistic Fuzzy PMS-Subalgebras of a PMS Algebra 关于PMS代数的t-直觉模糊PMS子代数
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-02-10 DOI: 10.4018/ijfsa.317103
Beza Lamesgin Derseh, Y. G. Wondifraw, Berhanu Assaye Alaba
{"title":"On t-Intuitionistic Fuzzy PMS-Subalgebras of a PMS Algebra","authors":"Beza Lamesgin Derseh, Y. G. Wondifraw, Berhanu Assaye Alaba","doi":"10.4018/ijfsa.317103","DOIUrl":"https://doi.org/10.4018/ijfsa.317103","url":null,"abstract":"In this paper, the authors extend the concept of a t-intuitionistic fuzzy set to PMS-subalgebras of PMS-algebras. The authors define the t-intuitionistic fuzzy PMS-subalgebra of a PMS-algebra and show that any intuitionistic fuzzy PMS-subalgebra of a PMS-algebra is a t-intuitionistic fuzzy PMS-subalgebra. The authors provide the condition for an intuitionistic fuzzy set in a PMS-algebra to be a t-intuitionistic fuzzy PMS-subalgebra. The authors use their (α,β) level cuts to characterize the t-intuitionistic fuzzy PMS-subalgebras of PMS-algebra. The authors investigate whether the homomorphic images and inverse images of t-intuitionistic fuzzy PMS-subalgebras are also t-intuitionistic fuzzy PMS-subalgebras. Furthermore, the authors show that the homomorphic images and inverse images of the nonempty (α,β) level cuts of the t-intuitionistic fuzzy PMS-subalgebras of a PMS-algebra are again PMS-subalgebras of a PMS-algebra. Finally, the authors show that the Cartesian product of the t-intuitionistic fuzzy PMS-subalgebras of a PMS-algebra is itself a t-intuitionistic fuzzy PMS-subalgebra and characterize it in terms of its (α,β) level cuts.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122830872","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}
引用次数: 0
Fuzzy Logic for Solving the Water-Energy Management Problem in Standalone Water Desalination Systems: Water-Energy Nexus and Fuzzy System Design 解决独立海水淡化系统中水能管理问题的模糊逻辑:水能关系与模糊系统设计
Int. J. Fuzzy Syst. Appl. Pub Date : 2023-02-03 DOI: 10.4018/ijfsa.317104
Ines Ben Ali, M. Turki, J. Belhadj, X. Roboam
{"title":"Fuzzy Logic for Solving the Water-Energy Management Problem in Standalone Water Desalination Systems: Water-Energy Nexus and Fuzzy System Design","authors":"Ines Ben Ali, M. Turki, J. Belhadj, X. Roboam","doi":"10.4018/ijfsa.317104","DOIUrl":"https://doi.org/10.4018/ijfsa.317104","url":null,"abstract":"This work investigates an important topic of energy and water security (water-energy nexus). For this purpose, Water-Energy Management Strategy (W-EMS) for a standalone water desalination system powered by PV-Wind source is designed. The proposed W-EMS is based on fuzzy logic. In this context, authors focus on the design phase of the Fuzzy Inference System (FIS) through which three design methods are described and analyzed. The influence of FIS design on W-EMS performance is highlighted. First, it is shown that based on the designer's knowledge, the handmade-FIS can offer good performance for the W-EMS. Then, the water-energy management is formulated as an optimization problem. Therefore, genetic algorithm is used to optimize the FIS design to reduce iterative hand-tuning trials. Furthermore, the design of the fuzzy W-EMS can be addressed by a data-driven approach as a third step. This method shows its good performance in terms of water production and energy efficiency compared to the designed FISs by the two previous methods (handmade tuning and genetic algorithm).","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126167317","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}
引用次数: 1
Multi-Criteria Decision Making to Logarithmic Pythagorean Fuzzy Entropy Measure Under TOPSIS Approach TOPSIS方法下对数勾股定理模糊熵测度的多准则决策
Int. J. Fuzzy Syst. Appl. Pub Date : 2022-10-01 DOI: 10.4018/ijfsa.312237
H. Arora, Anjali Naithani
{"title":"Multi-Criteria Decision Making to Logarithmic Pythagorean Fuzzy Entropy Measure Under TOPSIS Approach","authors":"H. Arora, Anjali Naithani","doi":"10.4018/ijfsa.312237","DOIUrl":"https://doi.org/10.4018/ijfsa.312237","url":null,"abstract":"One of the most essential ideas for tracing the best objects among a set of possible ones is decision-making theory. We make decisions to gain a wide range of advantages from them based on our previous experiences. The concept of Pythagorean fuzzy sets (PFS) was first established by Yager to provides a new technique to describe ambiguity with great precision when compared to intuitionistic fuzzy sets (IFS) and fuzzy sets (FS). The study of PFS is recently gaining importance due to its wide application in situations involving ambiguity. It can easily be merged with MADM techniques to solve real-life problems. However, many of these measures for PFS are ineffective in the sense that they have fundamental shortcomings that restrict them from providing reliable and consistent results. This paper provides a novel Pythagorean fuzzy entropy measure and its application to decision-making problem using technique for order preference by similarity of ideal solution (TOPSIS) on some real-life environment. Comparative study is also done for validation of the proposed measure.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"796 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131498637","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}
引用次数: 0
A Joint Detection Method of Groundwater-Level Change Based on Radial Basis Function Method with Multi-Social Networks 基于多社会网络径向基函数法的地下水位变化联合探测方法
Int. J. Fuzzy Syst. Appl. Pub Date : 2022-10-01 DOI: 10.4018/ijfsa.312236
Wenxiang Wang, Y. Cai
{"title":"A Joint Detection Method of Groundwater-Level Change Based on Radial Basis Function Method with Multi-Social Networks","authors":"Wenxiang Wang, Y. Cai","doi":"10.4018/ijfsa.312236","DOIUrl":"https://doi.org/10.4018/ijfsa.312236","url":null,"abstract":"Groundwater is one of the important water sources for production and life, and the detection of groundwater level change is important to avoid over-exploitation of resources and ground collapse. Groundwater is the main source of water for industrial and agricultural development, and groundwater has many characteristics, such as excellent water quality, strong sustainability, uniform distribution, stable water supply, etc. Groundwater is extremely widely used in some areas of China and has become the only water source. On the other hand, the means of monitoring groundwater resources should be constantly increased, and the data should be analyzed in a timely manner to minimize the losses caused by excessive groundwater mining and to ensure the reasonable use of groundwater resources.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126184131","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}
引用次数: 0
Fuzzy Ranking Algorithm with Seagull Optimization-Based Decision Tree for Short-Term/Long-Term Rainfall Prediction 基于海鸥优化决策树的模糊排序算法短期/长期降雨预测
Int. J. Fuzzy Syst. Appl. Pub Date : 2022-07-01 DOI: 10.4018/ijfsa.306283
A. A., Latha C. A.
{"title":"Fuzzy Ranking Algorithm with Seagull Optimization-Based Decision Tree for Short-Term/Long-Term Rainfall Prediction","authors":"A. A., Latha C. A.","doi":"10.4018/ijfsa.306283","DOIUrl":"https://doi.org/10.4018/ijfsa.306283","url":null,"abstract":"An exact rainfall prediction is a major challenge for agriculture subordinate nations for evaluating the productivity of crop, utilization of water resources and preplanning of water assets. Besides, because of different climate nature, rainfall prediction system cannot execute well for short-term and long-term rainfall prediction. Thus, to enhance the accuracy of short-term and long-term rainfall prediction, hybrid machine learning techniques are used in this approach. At first, we present fuzzy ranking algorithm to select the optimal subset of features. Using the selected features, short-term and long-term rainfalls are predicted by presenting optimized Decision Tree (DT). The decision node or upper level of the DT is chosen optimally using seagull optimization algorithm (SOA). Results of the article prove that the proposed rainfall prediction model obtains better accuracy than the existing prediction models.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129723507","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}
引用次数: 0
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