Results 21 to 30 of about 4,307,581 (259)
Generalized Fuzzy Soft Power Bonferroni Mean Operators and Their Application in Decision Making [PDF]
Symmetry, 2021 In decision-making process, decision-makers may make different decisions because of their different experiences and knowledge. The abnormal preference value given by the biased decision-maker (the value that is too large or too small in the original data) may affect the decision result.
Xu, Zitai, Chen, Chunfang, Yang, Yutao
openaire +2 more sources
Mathematics, 2020 The process of decision-making is subject to various influence factors and environmental uncertainties, which makes decision become a very complex task. As a new type of decision processing tool, the q-rung orthopair fuzzy sets can effectively deal with ...
Ping He, Zaoli Yang, Bowen Hou
doaj +2 more sources
The IOWAWA operator with bonferroni means
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019 The induced ordered weighted average is an averaging aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper presents a new operator that takes into the same formulation the IOWA operator and the Bonferroni means.
Fabio Blanco-Mesa +2 more
openaire +2 more sources
Hesitant Fermatean fuzzy Bonferroni mean operators for multi-attribute decision-making
Complex & Intelligent Systems, 2023 Hesitant Fermatean fuzzy sets (HFFS) can characterize the membership degree (MD) and non-membership degree (NMD) of hesitant fuzzy elements in a broader range, which offers superior fuzzy data processing capabilities for addressing complex uncertainty ...
Yibo Wang +4 more
doaj +3 more sources
On Generalized Intuitionistic Fuzzy Interaction Partitioned Bonferroni Mean Operators
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019 Intuitionistic fuzzy set theory has become a powerful tool to describe uncertain or vague information. Bonferroni mean (BM) operator captures the interrelationship among aggregated arguments during the aggregation process. Recently, the partitioned Bonferroni mean (PBM) operator has been proposed with the assumption that the interrelationships do not ...
Rajkumar Verma, José M. Merigó
openaire +3 more sources
Algorithms, 2018 In this paper, we investigate multiple-attribute decision-making (MADM) with Pythagorean 2-tuple linguistic numbers (P2TLNs). Then, we combine the weighted Bonferroni mean (WBM) operator and weighted geometric Bonferroni mean (WGBM) operator with P2TLNs ...
Xiyue Tang, Yuhan Huang, Guiwu Wei
doaj +2 more sources
Linguistic Z-Number Bonferroni Mean and Linguistic Z-Number Geometric Bonferroni Mean Operators: Their Applications in Portfolio Selection Problems [PDF]
IEEE Access, 2020 The optimal combination of assets can be selected by the traditional portfolio theory which uses historical quantitative data to represent the future return of assets.
Amir Hosein Mahmoodi +4 more
doaj +2 more sources
Axioms, 2022 In this article, we propose the generalized version of the extended, partitioned Bonferroni mean (EPBM) operator with a systematic investigation of its behavior and properties.
Debasmita Banerjee +3 more
doaj +2 more sources
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018 The Bonferroni mean (BM) operator, introduced by Bonferroni, is a powerful tool to capture the interrelationship among aggregated arguments. Various generalizations and extensions of BM have developed and applied to solve many realworld problems. Recently, the notion of Partitioned Bonferroni mean (PBM) operator has been proposed with the assumption ...
Rajkumar Verma +2 more
openaire +2 more sources
Enhancing Human Resource Management System with Triangular Fuzzy Weighted Bonferroni Mean Operator [PDF]
Malaysia Journal of Invention and Innovation, 2023 Organizations require an efficient human resource management system to manage employee-related matters such as attendance, leave, salaries, and training. The effectiveness of a business relies on how well it manages its human resources. To achieve this,
Noor Azzah Awang +2 more
doaj +4 more sources