On averaging operators for Atanassov's intuitionistic fuzzy sets

By Gleb Beliakov, Humberto Bustince, Debdipta Goswami, U. K. Mukherjee, Nikhil Ranjan Pal. Information Sciences, 2011

294 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3c85c186c75d13be558b77826ac0584a52308d4f

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In Artificial Intelligence

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators (2011, background): “Recently, some operators have been given to aggregate IFNs [21–23,14–16,12,13,3,27,30,20,5,17,18], such as intuitionistic fuzzy ordered weighted averaging operator, intuitionistic fuzzy ordered weighted geometric operator, and intuitionistic fuzzy hybrid aggregation operators.”
Generation of linear orders for intervals by means of aggregation functions (2013, background): “In recent years there has been an increasing interest in the use of extensions of fuzzy sets such as interval-valued fuzzy sets [14] and Atanassov’s intuitionistic fuzzy sets [1] in many different ﬁelds such as image processing [4,7], decision making [11], classiﬁcation [10] or consensus [3].”
Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers (2019, background): “Wang et al. [35] proposed some dependent AOs for IFNs; they can relieve the impact of unreasonable data by using the dependent weights.”
Intuitionistic Fuzzy Information Aggregation Using Einstein Operations (2012, unknown): “5 [11]: fL∗ : (L∗) n → L∗ is an aggregation function if it is monotone with respect to ≤L∗ and satisfies fL∗(0L∗ , .”
Spherical fuzzy sets and their applications in multi-attribute decision making problems (2018, unknown): “Theorem [6] takes the form by utilizing the technique of mathematical induction on n , and procedure is eliminated here.”
Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems (2016, methodology): “Then two SNNs A = < T A , I A , F A > and B = < T B , I B , F B > are reduced to IFNs.”