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Sustainability
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Latest Developments and Challenges in MCDM Theory, Models, and Applications
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Latest Developments and Challenges in MCDM Theory, Models, and Applications

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5198

Special Issue Editors

Prof. Dr. Kao-Yi Shen

E-Mail Website
Guest Editor
Department of Banking and Finance, Chinese Culture University (SCE), 55, Hwa-Kang Road, Yang-Ming-Shan, Taipei 11114, Taiwan
Interests: multiple criteria decision making (MCDM); fuzzy set theory; rough set theory; machine learning; business analytics; fundamental analysis; equity evaluation; technical analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Iván Palomares Carrascosa

E-Mail Website
Guest Editor
1. Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, 18010 Granada, Spain
2. Distinguished Associate Professor, National Cheng Kung University, Tainan, Taiwan
Interests: recommender systems; large-scale decision-making; consensus building; participatory decisions; decision support system implementations; e-governance

Special Issue Information

Dear Colleagues,

Facing complex real-world decision problems usually involves multiple conflicting criteria/factors/attributes and limited alternatives, which leads to the surging field of multiple criteria decision-making (MCDM). Additionally. decision-making research based on experts’ knowledge or data analytics has been proliferating in sustainability-related issues, ranging from business, engineering, government policy to medical studies. Several promising techniques, such as soft computing, artificial intelligence (AI), big data, and machining learning, have been incorporated into data-driven decision-making. Further, the fusion or combination from heterogeneous methods has been broadly adopted in MCDM applications. Thus, to explore the challenges from various topics, this Special Issue invites research papers that may contribute to the modeling or applications of MCDM in all fields. Research related to sustainable developments in economics, the environment, and social welfare has gained significant attention. Review articles that may provide a systematic understanding of an impactful MCDM method (approach) or research topic are also welcome. Potential topics include but are not limited to MCDM related studies in:

  • Business
  • Management
  • Finance
  • Marketing
  • Engineering
  • Computer science
  • Related decision-making frameworks

    --Group/multi-expert decision making

    --Consensus-based decision-making

  • Exploring newest decision frameworks

    --Participatory or large-scale decision-making

    --AI and data-driven decision-making

    --Social network-based decision-making

  • MCDM-related approaches to pursue the sustainable development goals (SDGs)
  • Multi-criteria recommender systems

Prof. Dr. Kao-Yi Shen
Prof. Dr. Iván Palomares Carrascosa
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. Sustainability 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 2400 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

  • multiple attribute decision-making (MADM)
  • multiple objective decision-making (MODM)
  • soft computing
  • fuzzy set theory
  • group decision
  • sustainable development goals (SDGs)
  • data-driven decision-making
  • computational intelligence
  • artificial intelligence (AI)

Published Papers (3 papers)

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Research

19 pages, 1059 KiB  
Article
Exploring the Key Priority Development Projects of Smart Transportation for Sustainability: Using Kano Model
by Ming-Tsang Lu, Hsi-Peng Lu and Chiao-Shan Chen
Sustainability 2022, 14(15), 9319; https://doi.org/10.3390/su14159319 - 29 Jul 2022
Cited by 3 | Viewed by 1448
Abstract
Many smart transport programs are being carried out despite the fact that new smart transport programs technologies are not yet mature and people’s needs are not fully understood. As a result, many smart transport projects fall into chaos and fail to operate successfully, [...] Read more.
Many smart transport programs are being carried out despite the fact that new smart transport programs technologies are not yet mature and people’s needs are not fully understood. As a result, many smart transport projects fall into chaos and fail to operate successfully, and can even impede socioeconomic development for sustainability. Therefore, this study suggests that cities should consider first the perceptions of people toward smart transport before they actively implement smart transport projects; this is an indispensable, key step to the smooth development of smart transport. Based on exploratory research, the study explores the procedure of constructing a kano model of smart transportation. A six-stage procedure is developed as primary collected 50 smart transport cases worldwide and then extracted 24 smart transport items. We designed questionnaire contents within the theoretical framework of the kano model, and eventually collected 369 completed questionnaires to determine how smart transport items can be classified under appropriate need attributes. Additionally, we use the customer satisfaction coefficient method to further prioritize the smart transport items, and four methods to prioritize them. Decision-makers can consider prioritization results from using different rules and methods, and reduce the gap between technologies implementation and actual needs. Full article
(This article belongs to the Special Issue Latest Developments and Challenges in MCDM Theory, Models, and Applications)
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15 pages, 907 KiB  
Article
Exploring the Driving Factors Influencing Designers to Implement Green Design Practices Based on the DANP Model
by Gang Wang, Qigan Shao, Changchang Jiang and James J. H. Liou
Sustainability 2022, 14(11), 6537; https://doi.org/10.3390/su14116537 - 26 May 2022
Cited by 1 | Viewed by 1290
Abstract
Green design is a key step in improving the green performance of corporate projects. Stimulating the green design behavior of designers is the guarantee for the sustainable implementation of green design. This study extracted four dimensions, namely, external motivation, corporate-level drivers, product-level drivers [...] Read more.
Green design is a key step in improving the green performance of corporate projects. Stimulating the green design behavior of designers is the guarantee for the sustainable implementation of green design. This study extracted four dimensions, namely, external motivation, corporate-level drivers, product-level drivers and designers’ attributes, and 18 indicators to consider designers’ green design driving force through the literature. The DANP model was used to analyze the relationship between the indicators and the degree of importance of the indicators. The results indicated that external motivation and designer attributes influenced corporate-level drivers, while product-level drivers were outcome factors. Corporate reputation, organizational strategy and institutional pressure were the three most important criteria. Enterprises’ incentives and personnel care for designers are crucial for promoting designers’ continuous participation in green design. Full article
(This article belongs to the Special Issue Latest Developments and Challenges in MCDM Theory, Models, and Applications)
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21 pages, 3077 KiB  
Article
A Novel Hybrid Interval Rough SWARA–Interval Rough ARAS Model for Evaluation Strategies of Cleaner Production
by Ilija Tanackov, Ibrahim Badi, Željko Stević, Dragan Pamučar, Edmundas Kazimieras Zavadskas and Romualdas Bausys
Sustainability 2022, 14(7), 4343; https://doi.org/10.3390/su14074343 - 06 Apr 2022
Cited by 7 | Viewed by 1453
Abstract
Cleaner production is certainly a challenge of our everyday life, and a lot of effort and energy is required to achieve it. This paper has created a model of five strategies for cleaner production in Libyan industry, which have been evaluated on the [...] Read more.
Cleaner production is certainly a challenge of our everyday life, and a lot of effort and energy is required to achieve it. This paper has created a model of five strategies for cleaner production in Libyan industry, which have been evaluated on the basis of eight criteria. In order to determine the significance of the criteria, a novel interval rough SWARA (step-wise weight assessment ratio analysis) method has been developed, which takes into account the preferences of decision-makers (DMs) by applying interval rough numbers. A novel interval rough ARAS (additive ratio assessment) method has been developed for the evaluation and selection of the most favorable strategy for cleaner production. The integration of the developed methods has yielded results showing that the first strategy, launching awareness-raising campaigns to publicize these policies, represents the most realistic and best current solution to achieve cleaner production in Libyan industry. A comparative analysis with some existing interval rough methodologies has been presented to verify the superiority of the proposed model. In addition, in a sensitivity analysis, the weight of the most significant criterion has been changed. Full article
(This article belongs to the Special Issue Latest Developments and Challenges in MCDM Theory, Models, and Applications)
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