A hesitant fuzzy multiple attribute decision making method based on linear programming and TOPSIS
Yingjun Zhang,Ang Xie,Yuting Wu +2 more
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TL;DR: A linear programming model for assessing objective attribute weights from the decision making matrix and partially known attribute weight information and the weighted correlation coefficient values between every alternative and the positive ideal point to rank all the alternatives based on TOPSIS are presented.
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About: This article is published in IFAC-PapersOnLine. The article was published on 01 Jan 2015. and is currently open access. The article focuses on the topics: TOPSIS & Fuzzy set.
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Citations
Smart watch evaluation with integrated hesitant fuzzy linguistic SAW-ARAS technique
Gülçin Büyüközkan,Merve Güler +1 more
TL;DR: An assessment framework established on a Hesitant Fuzzy Linguistic Multi-Criteria Decision-Making technique to collectively consider parameters affecting the eventual decision to address the Smart Watch (SW) selection problem is introduced.
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Priority degrees for hesitant fuzzy sets: Application to multiple attribute decision making
TL;DR: A priority degree formula for comparing two hesitant fuzzy sets is presented and the desirable priority degree properties studied and a new hesitant fuzzy multiple attribute decision making methodology is proposed.
33
Research on multi-objective decision-making under cloud platform based on quality function deployment and uncertain linguistic variables
Jiashuang Fan,Suihuai Yu,Jianjie Chu,Dengkai Chen,Mingjiu Yu,Tong Wu,Jian Chen,Fangmin Cheng,Chuan Zhao +8 more
TL;DR: To efficiently and accurately realize the optimal selection of design scheme, a fuzzy evaluation mechanism in handling the vagueness and uncertainty is established, with the advantage of quality function deployment and strength Pareto evolutionary algorithm in decision analysis.
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Multi-attribute group decision making based on hesitant fuzzy sets, TOPSIS method and fuzzy preference relations
TL;DR: A new order relation extraction method based on a new additive consistency fuzzy preference relation for hesitant fuzzy elements (HFEs) can maintain the consistency of the decision process for MAGDM under hesitant fuzzy environments and avoid the original decision information change and loss of the proposed method.
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Service Optimization of Internet of Manufacturing Things Based on Mixed Information Axioms
TL;DR: A quality of service (QoS) optimization method based on mixed information axioms is proposed to solve the optimization problem of manufacturing service in the IOMT environment and this method extends the application scope of traditional informationAxioms.
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