Generalization and extension of partitioned Bonferroni mean operator to model optional prerequisites-Reference-Cited by-同舟云学术

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Generalization and extension of partitioned Bonferroni mean operator to model optional prerequisites

Published:2020-05 Issue:5 Volume:35 Page:891-919
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Hait Swati Rani¹,Guha Debashree²,Chakraborty Debjani¹,Mesiar Radko³⁴

Affiliation:

1. Department of MathematicsIndian Institute of Technology Kharagpur Kharagpur West Bengal India

2. School of Medical Science and TechnologyIndian Institute of Technology Kharagpur Kharagpur West Bengal India

3. Department of MathematicsSlovak University of Technology Bratislava Slovakia

4. Department of Algebra and GeometryFaculty of Science, Palacký University Olomouc Olomouc Czech Republic

Funder

UGC New Delhi

SERB India

Czech Science Foundation

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22229

Reference37 articles.

1. New Trends in Aggregation Theory

2. Density-based averaging – A new operator for data fusion

3. Some Averaging Functions in Image Reduction

4. Construction of image reduction operators using averaging aggregation functions

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1. Improved Bonferroni mean operator to apprehend graph based data interconnections with application to the Hacker Attack system;Information Sciences;2022-11

2. Development of the Generalized Multi-Dimensional Extended Partitioned Bonferroni Mean Operator and Its Application in Hierarchical MCDM;Axioms;2022-10-28

3. The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection;Information Fusion;2022-04

4. Generalized hesitant fuzzy information fusion using extended partitioned Bonferroni mean operator with application in decision-making;Computational and Applied Mathematics;2020-06-06

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