Recent Advances in Fuzzy Set Theory and Their Application in Sustainable Decision Making

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 5097

Special Issue Editors

Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore 721102, West Bengal, India
Interests: operational research (transportation problem, game theory, inventory management, facility-location problems)
Departamento de Ciencias de la Computación e Inteligencia, Artificial E.T.S. de Ingenierías Informática y de Telecomunicación, Universidad de Granada, E-18014 Granada, Spain
Interests: soft computing; fuzzy sets and systems; decision support systems; metaheuristic algorithms; nature inspired systems; and bioinformatic
Department of Engineering Mathematics and Numerical Analysis of Optimization, Brandenburg University of Technology Cottbus-Senftenberg, Platz der Deutschen Einheit 1, 03046 Cottbus, Germany
Interests: engineering mathematics; numerical optimization methods; applied mathematics; discrete optimization; mixed-integer programming
1. Faculty of Engineering Management, Chair of Marketing and Economic Engineering, Poznan University of Technology, 60-965 Poznan, Poland
2. IAM (UME), METU, No: 1, 06800 Ankara, Turkey
Interests: bioinformatics; artificial intelligence; energy; modeling; machine learning prediction
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Special Issue Information

Dear Colleagues,

In 2018, the Paris agreement set the goal for countries around the world to achieve net-zero emissions by 2050. Additionally, the recent pandemic had a significant effect on economic and social balancing all over the world. Therefore, sustainability has become the most concerning factor throughout the globe. Consequently, there is a dire need to develop an efficient decision-making model with sustainability implementation for supporting governments in getting over the sustainable crisis in various sectors, such as logistics, hospitality, tourism, business, construction, etc.

Due to certain uncontrollable and inevitable factors, information regarding decision systems is often imprecise. Accordingly, several studies have focused on handling uncertainties in decision systems. Fuzzy sets, developed by L. A. Zadeh in 1965, have been widely applied in various decision-making fields. However, the COVID-19 pandemic has increased ambiguousness in decisions regarding data. As a result, traditional uncertainties are inadequate to solve the issues arising in complex decision-making problems.

Hence, for this Special Issue, we are pleased to invite you to submit papers regarding the advancement and extension of fuzzy set theory that can handle uncertain, ambiguous, and noisy information in various sustainable decision-making problems. In addition to the above, this Special Issue aims to gather recent advances in the use of fuzzy decision system for sustainable decision making.

In this Special Issue, original research articles and reviews are welcome. Research areas may include but are not limited to the following:

  • Continuous and discrete fuzzy set theory in decision making;
  • Sustainable transport management;
  • Sustainable hospitality and tourism management;
  • Advanced multicriteria decision making;
  • Advanced aggregation operators and their application in decision making;
  • Consensus model in sustainable decision making;
  • Sustainable waste management;
  • Sustainable water resource management;
  • Extended fuzzy sets in decision making.

Prof. Dr. Sankar Kumar Roy
Prof. Dr. José Luis Verdegay
Prof. Dr. Armin Fügenschuh
Prof. Dr. Gerhard-Wilhelm Weber
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • continuous and discrete fuzzy set theory in decision making
  • sustainable transport management
  • sustainable hospitality and tourism management
  • advanced multicriteria decision making
  • advanced aggregation operators and their application in decision making
  • consensus model in sustainable decision making
  • sustainable waste management
  • sustainable water resource management
  • extended fuzzy sets in decision making

Published Papers (2 papers)

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Research

20 pages, 972 KiB  
Article
Barriers to Using Cloud Computing in Sustainable Construction in Nigeria: A Fuzzy Synthetic Evaluation
Mathematics 2023, 11(4), 1037; https://doi.org/10.3390/math11041037 - 18 Feb 2023
Cited by 8 | Viewed by 1292
Abstract
This study aims to assess the barriers impeding cloud computing (CC) applicability in sustainable construction. A total of 11 barriers in the use of CC were identified for the literature review. A questionnaire survey was used to collect the data from construction stakeholders. [...] Read more.
This study aims to assess the barriers impeding cloud computing (CC) applicability in sustainable construction. A total of 11 barriers in the use of CC were identified for the literature review. A questionnaire survey was used to collect the data from construction stakeholders. In total, 101 valid responses were obtained and analyzed using mean ranking, normalized value (NV), overlapping analysis, Kruskal–Wallis H test, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). The EFA extracted four interrelated components: social, economic, expertise, and connectivity. These components were exported for mathematical analyzing using the FSE technique. As a result, the FSE indicated that connectivity is the highest-impacted component, while the overall impact level of barriers is inclined to high regarding CC applicability in sustainable construction. This is due to other components having an average to high impact level. In this regard, the findings reflect the actual current status of developing countries in using CC in sustainable construction. These research findings will allow construction stakeholders to take proactive steps toward increasing the use of CC in their current and future sustainable construction. Decision-makers could also make accurate decisions that are well-informed in managing CC barriers. This paper provides stakeholders, researchers, and decision-makers with a list of CC barriers that hinder developing countries. Full article
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22 pages, 1544 KiB  
Article
Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach
Mathematics 2022, 10(8), 1252; https://doi.org/10.3390/math10081252 - 11 Apr 2022
Cited by 9 | Viewed by 2550
Abstract
Developing a promising technology that copes with the industrial warehousing environment requires special preparation. It includes infrastructure, equipment, resources, knowledge, efficiencies, and strategies for dealing with failures. This study examines Technology 4.0 driven warehouse practices and performance based on a thorough literature review. [...] Read more.
Developing a promising technology that copes with the industrial warehousing environment requires special preparation. It includes infrastructure, equipment, resources, knowledge, efficiencies, and strategies for dealing with failures. This study examines Technology 4.0 driven warehouse practices and performance based on a thorough literature review. The study presents a unique proposition as it considers a two-fold fuzzy Delphi analysis to rank the Technology 4.0 driven practices using best-worst method (BWM) based on experts’ responses. Warehouse performance measures are evaluated by the Combined Compromise Solution (CoCoSo) method. The results indicate the contributions of a ‘Man-machines or robots for facilitating human’; ‘Planning system for management’; ‘Storage systems’ as as leading practices contributing to ‘improved inventory management’, ‘effective storage and distribution’, and ‘improved distribution and shipping or delivery process’. Using this study, researchers and managers will better understand how to adopt technology in warehouse management system. Full article
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