Azadeh Zahedi Khameneh

Orcid: 0000-0002-3205-5212

According to our database1, Azadeh Zahedi Khameneh authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity.
Neural Comput. Appl., June, 2024

A systematic literature review of soft set theory.
Neural Comput. Appl., June, 2024

2023
A multi-view clustering algorithm for attributed weighted multi-edge directed networks.
Neural Comput. Appl., April, 2023

2022
Transitive Fuzzy Similarity Multigraph-Based Model for Alternative Clustering in Multi-criteria Group Decision-Making Problems.
Int. J. Fuzzy Syst., 2022

Consistency of total fuzzy relations: New algorithms to detect and repair inconsistent judgments.
Expert Syst. Appl., 2022

2021
m-Polar Generalization of Fuzzy T-Ordering Relations: An Approach to Group Decision Making.
Symmetry, 2021

2020
Some Construction Methods of Aggregation Operators in Decision-Making Problems: An Overview.
Symmetry, 2020

Aggregation of infinite chains of intuitionistic fuzzy sets and their application to choices with temporal intuitionistic fuzzy information.
Inf. Sci., 2020

2019
Multi-attribute decision-making based on soft set theory: a systematic review.
Soft Comput., 2019

A fuzzy majority-based construction method for composed aggregation functions by using combination operator.
Inf. Sci., 2019

2018
m-Polar Fuzzy Soft Weighted Aggregation Operators and Their Applications in Group Decision-Making.
Symmetry, 2018

Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets.
J. Intell. Fuzzy Syst., 2018

Parameter Reduction of Fuzzy Soft Sets: An Adjustable Approach Based on the Three-Way Decision.
Int. J. Fuzzy Syst., 2018

2017
An Adjustable Approach to Multi-Criteria Group Decision-Making Based on a Preference Relationship Under Fuzzy Soft Information.
Int. J. Fuzzy Syst., 2017


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