Special lssues

Fuzzy Sets and Soft Computing

Submission Deadline: 10 July 2022 (closed)

Guest Editors

Dr. Nguyen Van Thanh, Van Lang University, Vietnam.
Dr. Phan Nguyen Ky Phuc, International University, Vietnam.
Dr. Nguyen Huu Tho, Nguyen Tat Thanh University, Vietnam.

Summary

Since the first introduction in 1965 by Lotfi Zadeh, fuzzy logic theory has proved itself as a powerful theory and an effective approach for solving several problems in both academic as industry field. Its applications spread from optimizing, controlling, data mining to artficial intelligent, automation referenct, etc. Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Through its capability of representing and tackling vagueness and imprecise information, fuzzy logic is more and more welcome by both scholars and practitioners. The purpose of this Special Issue is to gather a collection of articles on the latest research and developments in this field of research which includes but is not limited to topics such as: automated reasoning and inference, heuristic search, natural language processing, applications in medical sciences and bioinformatics, knowledge representation, extensions and generalizations of fuzzy sets, aggregation operations, information content measures, preference modeling and multicriteria evaluation, and reasoning under uncertainty.


Keywords

Mathematical logic and mathematical foundation
Fuzzy Multicriteria Decision Making Model
Foundations of soft computing
Fuzzy set theory
Reasoning under uncertainty
Extensions and generalizations of fuzzy sets
Heuristic search in soft computing
Soft computing applications in Logistics and supply chain management

Published Papers


  • Open Access

    ARTICLE

    A Fuzzy MCDM Model of Supplier Selection in Supply Chain Management

    Jui-Chung Kao, Chia-Nan Wang, Viet Tinh Nguyen and Syed Tam Husain
    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1451-1466, 2022, DOI:10.32604/iasc.2022.021778
    (This article belongs to the Special Issue: Fuzzy Sets and Soft Computing)
    Abstract According to a new study by the International Labor Organization (ILO), the COVID-19 pandemic has had a strong impact on the garment industry in the Asia-Pacific region. A sharp drop in retail sales in key export markets has affected workers and businesses across supply chains. To ensure the effectiveness and efficiency of garment supply chain, choosing a sustainable supplier should be a main concern of all businesses. The supplier selection problem in garment industry involves multiple quantitative and qualitative criteria. There have been many research and literatures about the development and application of Multicriteria Decision Making (MCDM) models in solving… More >

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