The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation-Reference-Cited by-同舟云学术

The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation

Published:2023-07 Issue: Volume:635 Page:345-374
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Görçün Ömer Faruk,Pamucar Dragan^ORCID,Biswas Sanjib^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference51 articles.

1. An enhanced VIKOR method for multi-criteria group decision-making with complex Fermatean fuzzy sets;Akram;Math. Biosci. Eng.,2022

2. Evaluating the feasibility of blockchain in logistics operations: A decision framework;Ar;Expert Syst. Appl.,2020

3. Intuitionistic fuzzy sets;Atanassov;Fuzzy Set. Syst.,1986

4. More on intuitionistic fuzzy sets;Atanassov;Fuzzy Set. Syst.,1989

5. Circular intuitionistic fuzzy sets;Atanassov;J. Intell. Fuzzy Syst.,2020

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A consent-aware electronic medical records sharing method based on blockchain;Computer Standards & Interfaces;2025-03

2. New distance measures of complex Fermatean fuzzy sets with applications in decision making and clustering problems;Information Sciences;2025-01

3. A blockchain platform selection method with heterogeneous multi-criteria Decision-Making based on hybrid distance measures and an AHP-EWM weight method;Expert Systems with Applications;2024-12

4. An integrated decision framework for resilient sustainable waste electric vehicle battery recycling transfer station site selection;Applied Energy;2024-11

5. Optimized Multiple-Attribute Decision-Making through Employing Probabilistic Hesitant Fuzzy Number ExpTODIM and EDAS Technique and Application to Performance Evaluation of Smart Tourism Cities;2024-09-10