Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm
The aim of this paper is to investigate the multiple criteria group decision-making problem in which the evaluation values provided by experts construct some hesitant fuzzy numbers. We first analyze the characteristics of hesitant fuzzy number (HFN) and define the concept of feature vector of HFN. T...
Saved in:
Main Authors: | Hongya Bian, Deqing Li, Yuang Liu, Rong Ma, Wenyi Zeng, Zeshui Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10735183/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reliability analysis with triangular hesitant fuzzy pareto life distribution
by: Abdul Kalam, et al.
Published: (2024-12-01) -
Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making
by: Yanpo Yang, et al.
Published: (2025-02-01) -
Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information
by: Wania Iqba, et al.
Published: (2024-06-01) -
Multi-criteria group decision-making with extended ELECTRE III method and regret theory based on probabilistic interval-valued intuitionistic hesitant fuzzy information
by: Chuanyang Ruan, et al.
Published: (2024-12-01) -
An ORESTE approach based decision-making framework for renewable energy development with probabilistic dual hesitant fuzzy information
by: Soniya Gupta, et al.
Published: (2025-03-01)