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Application of intuitionistic z-numbers in Supplier Selection

Intelligent Automation & Soft Computing 2023年第1期35卷 47-61页

作者： Nik Muhammad Farhan Hakim Nik Badrul Alam Ku Muhammad Naim Ku Khalif Nor Izzati Jaini Centre for Mathematical Sciences College of Computing and Applied SciencesUniversiti Malaysia PahangLebuhraya Tun RazakGambangKuantan26300PahangMalaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA PahangJengka CampusBandar Tun Abdul Razak Jengka26400PahangMalaysia

intuitionistic fuzzy numbers incorporate the membership and non-membership *** contrast,z-numbers consist of restriction components,with the existence of a reliability component describing the degree of certainty for the *** combination of intuitionistic fuzzy numbers and z-numbers produce a new type of fuzzy numbers,namely intuitionistic z-numbers(IzN).The strength of IzN is their capability of better handling the uncertainty compared to zadeh's z-numbers since both components of z-numbers are charac-terized by the membership and non-membership functions,exhibiting the degree of the hesitancy of *** paper presents the application of such numbers in fuzzy multi-criteria decision-making problems.A decision-making model is proposed using the trapezoidal intuitionistic fuzzy power ordered weighted average as the aggregation function and the ranking function to rank the *** proposed model is then implemented in a supplier selection *** obtained ranking is compared to the existing models based on *** results show that the ranking order is slightly different from the existing *** analysis is performed to validate the obtained *** sensitivity analysis result shows that the best supplier is obtained using the proposed model with 80%to 100%consistency despite the drastic change of criteria *** z-numbers play a very important role in describing the uncertainty in the decision makers’opinions in solving decision-making problems.

关键词： intuitionistic z-number fuzzy decision making ranking function supplier selection sensitivity analysis

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