A Dynamic Programming Algorithm Based Clustering Model and Its Application to Interval Type-2 Fuzzy Large-Scale Group Decision-Making Problem

This article focuses on employing the dynamic programming algorithm to solve the large-scale group decision-making problems, where the preference information takes the form of linguistic variables. Specifically, considering the linguistic variables cannot be directly computed, the interval type-2 fu...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 30; číslo 1; s. 108 - 120
Hlavní autori:	Pan, Xiaohong, Wang, Yingming, He, Shifan, Chin, Kwai-Sang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Centroid-based ranking method Centroids Clustering Clustering algorithms Clustering methods Decision making Dynamic programming dynamic programming algorithm-based clustering model Fuzzy sets Heuristic algorithms interval type-2 fuzzy sets large-scale group decision-making (GDM) Linguistics
ISSN:	1063-6706, 1941-0034
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