Special Issue "Sustainability Assessment using Uncertain Decision Making Approaches in the Era of Globalization"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer and Engineer Science and Symmetry".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Prof. Dr. Edmundas Kazimieras Zavadskas
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Guest Editor
Dr. Dragan Pamučar
Website SciProfiles
Guest Editor
Department of logistics, University of Defence, Belgrade, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
Interests: multi-criteria decision making problems; computational intelligence; sustainability Neuro-fuzzy systems; fuzzy; rough and intuitionistic fuzzy set theory; neutrosophic theory
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Dr. Željko Stević
Website SciProfiles
Guest Editor
University of East Sarajevo, Faculty of Transport and Traffic Engineering, Department for Transport Engineering Vojvode Mišića 52, 74000 Doboj, Republic of Srpska, Bosnia and Herzegovina.
Interests: logistics; supply chain management; transport; traffic engineering; multicriteria decision-making problems; rough set theory; sustainability; fuzzy set theory; neutrosophic theory
Special Issues and Collections in MDPI journals
Dr. Abbas Mardani

Guest Editor
Muma College of Business at University of South Florida (USF), Tampa, FL, United States
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction, that is, the ability to properly define a set of success indicators. The application of the developed new multicriteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. Decision making on complex engineering problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which belong to MCDM techniques, are very useful for modeling complex engineering problems with imprecise, ambiguous, or vague data. Sustainability in engineering is one of the most discussed topics in recent years and represents one of the key factors in engineering sustainable development and optimization. Sustainable multidisciplinary approaches based on MCDM techniques enable easier process technology in the future.

This Special Issue on “Multicriteria Decision-Making Techniques for Improvement Sustainability Engineering Processes” aims to incorporate recent developments in the area of sustainable engineering processes. Topics include but are not limited to the following:

  • MCDM optimization in sustainable engineering;
  • Environmental sustainability in engineering processes;
  • Sustainable multicriteria production and logistics processes planning;
  • Integrated approach for modelling processes in engineering;
  • New trends in the multicriteria evaluation of sustainable processes;
  • Multicriteria decision making in strategic management based on sustainable criteria.

Conclusion:

Engineering is the application of scientific and mathematical principles for practical objectives such as the processes, manufacture, design, and operation of products, while accounting for constraints invoked by environmental, economic, and social factors. There are various factors needing to be considered in order to address engineering sustainability, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been a subject of intense research activities due to its wide applications in different areas, such as sustainable engineering and environmental sustainability. The decision-making theory approach has become an important means of providing real-time solutions to uncertainty problems, especially for sustainable engineering and environmental sustainability problems in engineering processes. We hope that this Special Issue will stimulate both theoretical and applied research in the related fields of sustainability engineering processes. It is certainly impossible to provide in this short editorial a more comprehensive description for all articles in this Special Issue. However, we sincerely hope that our effort in compiling these articles will enrich our readers and inspire researchers with regard to the seemingly common, but actually important issue of decision-making and fuzzy decision-making approaches for sustainable engineering processes.

Prof. Dr. Edmundas Kazimieras Zavadskas
Dr. Dragan Pamučar
Dr. Željko Stević
Dr. Abbas Mardani
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 papers will be 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. Symmetry is an international peer-reviewed open access monthly 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 1400 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.

Published Papers (1 paper)

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Research

Open AccessArticle
Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)
Symmetry 2020, 12(7), 1152; https://doi.org/10.3390/sym12071152 - 09 Jul 2020
Abstract
The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly [...] Read more.
The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches. Full article
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