Optimizing New Technology Implementation Through Fuzzy Hypersoft Set: A Framework Incorporating Entropy, Similarity Measure, and TOPSIS Techniques-Reference-Cited by-同舟云学术

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Optimizing New Technology Implementation Through Fuzzy Hypersoft Set: A Framework Incorporating Entropy, Similarity Measure, and TOPSIS Techniques

Published:2023 Issue: Volume:11 Page:80680-80691
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahsan Muhammad¹^ORCID,Sarwar Muhammad Amad²,Lone Showkat Ahmad³^ORCID,Almutlak Salmeh A.³,Anwer Sadia⁴

Affiliation:

1. Department of Mathematics, Riphah International University, Faisalabad, Pakistan

2. School of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Department of Basic Sciences, Saudi Electronic University, Riyadh, Saudi Arabia

4. Department of Mathematics, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10196382.pdf?arnumber=10196382

Reference79 articles.

1. Requirements based test prioritization using risk factors: An industrial study

2. Similarity measures between vague sets and between elements

3. Quantum computing

4. Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis

5. The evolution of robotics research

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1. Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering;Information;2024-05-14

2. Development of an Investment Sector Selector Using a TOPSIS Method Based on Novel Distances and Similarity Measures for Picture Fuzzy Hypersoft Sets;IEEE Access;2024

3. Optimizing Environmental Impact: MCDM-Based Approaches for Petrochemical Industry Emission Cuts;IEEE Access;2024

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