Intuitionistic Fuzzy Bonferroni Means

Zeshui Xu · Ronald R. Yager

444 citations0/0 files storedIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Multi-Criteria Decision Making Optimization and Mathematical Programming Fuzzy and Soft Set Theory

Abstract

The Bonferroni mean (BM) was originally introduced by Bonferroni and then more recently generalized by Yager. The desirable characteristic of the BM is its capability to capture the interrelationship between input arguments. Nevertheless, it seems that the existing literature only considers the BM for aggregating crisp numbers instead of any other types of arguments. In this paper, we investigate the BM under intuitionistic fuzzy environments. We develop an intuitionistic fuzzy BM (IFBM) and discuss its variety of special cases. Then, we apply the weighted IFBM to multicriteria decision making. Some numerical examples are given to illustrate our results.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 444 citations exist upstream.

References

1986Intuitionistic fuzzy sets 1988On ordered weighted averaging aggregation operators in multicriteria decisionmaking 2007Intuitionistic Fuzzy Aggregation Operators 2006Some geometric aggregation operators based on intuitionistic fuzzy sets 2007Aggregation Functions: A Guide for Practitioners 2000Distances between intuitionistic fuzzy sets 2009A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method 1993On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking

Cited by

2012Hesitant fuzzy prioritized operators and their application to multiple attribute decision making 2012Intuitionistic Fuzzy Information Aggregation Using Einstein Operations 2015A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making 2011Intuitionistic fuzzy geometric aggregation operators based on einstein operations 2013A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.