Special Issue "Methodologies and Applications of Multiple Criteria Decision Making for Sustainable Development"

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

Deadline for manuscript submissions: 1 April 2020.

Special Issue Editors

Guest Editor
Prof. Dr. Gang Kou Website E-Mail
School of Business Administration, Southwestern University of Finance and Economics, China
Interests: big data; decision analysis
Guest Editor
Prof. Dr. Enrique Herrera-Viedma Website E-Mail
Department of Computer Science and Artificial Intelligence, E.T.S. de Ingenieria Informatica y de Telecomunicacion, University of Granada, 18071, Granada, Spain
Interests: artificial intelligence; machine learning; fuzzy sets; fuzzy decision making; computing with words; multiple criteria decision making; consensus
Guest Editor
Dr. Daji Ergu Website E-Mail
College of Electrical & Information Engineering, Southwest Minzu University, China
Interests: big data; decision analysis; decision support system; risk assessment; emergency management
Guest Editor
Dr. Fawaz E. Alsaadi Website E-Mail
Department of information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia
Interests: information technology

Special Issue Information

Dear Colleagues,

Sustainable development requires critical strategic planning to guide the developments of global environmental, cultural, economic, and social sustainability of human beings. Without taking sustainability into consideration, neither government managements nor enterprises can fully achieve many of their long-term environmental quality goals and economic benefits. However, the incorporation of sustainability considerations requires a shift from focusing solely on the environmental perspective to also acknowledging the broader assessments of cultural continuity and compatibility, technological knowledge, and policy. Multiple variables often exist in a well-defined sustainability problem, and most of the sustainability-related issues involve multiple criteria; thus, it is reasonable to adopt the multiple criteria decision-making (MCDM) approach to handle sustainability-related problems.

This Special Issue seeks methodologies and applications of MCDM methods, such as AHP/ANP, TOPSIS, VIKOR, GRA, etc., and their hybrid methods, for handling sustainable development issues from researchers and practitioners. Topics of interest include (but not limited to) the following:

  • Analyzing and evaluating the factors affecting decision making under different sustainable issues;
  • In the decision model for sustainable development, applying a novel method to find suitable values for the weight assignment of the influencing factors;
  • Optimizing algorithm steps and simplifying decision models for sustainability issues;
  • Adopting MCDM methods and tools to model different types of sustainable issues;
  • Using hybrid approaches to solve complex sustainable problems;
  • Developing an effective sustainable assessment system to conduct a reference for policy-making.

Prof. Dr. Gang Kou
Prof. Dr. Enrique Herrera-Viedma
Dr. Daji Ergu
Dr. Fawaz E. Alsaadi
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. 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 1700 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

  • methodologies and applications
  • multiple criteria decision making
  • sustainable development
  • optimization algorithms
  • integrated methods

Published Papers (5 papers)

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Research

Open AccessArticle
A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design
Sustainability 2019, 11(16), 4401; https://doi.org/10.3390/su11164401 - 14 Aug 2019
Abstract
Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and [...] Read more.
Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and priority decomposition. These models were developed on the basis of different assumptions that led to different efficiency decompositions and thus confusion among researchers. The current paper attempts to reconcile these differences by redefining the fairness of efficiency decomposition based on efficiency rank, and develops a rank-based model with two parameters. In our new rank-based model, these three efficiency decomposition methods can be treated as special cases where these parameters take special values. By showing the continuity of the Pareto front, we simplify the uniform efficiency decomposition, and indicate that the uniform efficiency decomposition and Nash bargaining game decomposition can converge to the same efficiency decomposition. To demonstrate the merits of our model, we use data from the literature to evaluate the performance of 10 Chinese banks, and compare the different efficiency decompositions created by different methods. Last, we apply the proposed model to the performance evaluation of sustainable product design in the automobile industry. Full article
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Open AccessArticle
Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
Sustainability 2019, 11(12), 3420; https://doi.org/10.3390/su11123420 - 21 Jun 2019
Cited by 1
Abstract
To address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in [...] Read more.
To address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in consideration of the urgent window constraints, partial road damage, multimodal relief delivery, disaster severity, and vulnerability of each demand node when its demand is not satisfied. The goals of this model are to minimize (1) the maximum loss of demand node, (2) the total loss of demand node, and (3) the maximum time required for the demand node to receive relief. A hybrid heuristic algorithm was proposed to solve the model. Finally, the utility and fairness of the model and algorithm were demonstrated by a case study during the first day after the great Wenchuan earthquake in China. Full article
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Open AccessArticle
Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries
Sustainability 2019, 11(8), 2389; https://doi.org/10.3390/su11082389 - 22 Apr 2019
Abstract
Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing [...] Read more.
Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing countries to explore its impact and decision making for sustainable economic growth. The study uses a case study methodology whereby FDI, exchange rate, and CSR expenditure data from 20 countries were used to assess the efficiency in sustainable economic growth. Data were collected from the World Bank for 20 Asian and African developing countries during 2012–2017 and analyzed using GM (1,1), mean absolute percentage error (MAPE), Malmquist productivity index (MPI)-data envelopment analysis (DEA), and the slacks-based measure of efficiency (SBM) model. Correlation analysis is used to find the relationship for FDI, CSR, exchange rate, gross domestic product (GDP), and GDP per capita (GDPPC). The results of the Malmquist productivity index and the frontier effect clearly highlight that a few countries have witnessed a great improvement in terms of productivity and technological progression. Therefore, the decision makers must adopt the model of those countries with respect to sustainable development of the nation. This study helps developing nations as well as researchers to benchmark efficient countries and follow their strategies to develop a new one for utilizing FDI and CSR spending in sustainable economic development. The study also helps policy makers in multi criterion application of FDI and CSR for decision making in economic development. Full article
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Open AccessArticle
Systemic Functions Evaluation based Technological Innovation System for the Sustainability of IoT in the Manufacturing Industry
Sustainability 2019, 11(8), 2342; https://doi.org/10.3390/su11082342 - 18 Apr 2019
Abstract
Technological innovations are regarded as the tools that can stimulate economic growth and the sustainable development of technology. In recent years, as technologies based on the internet of things (IoT) have rapidly developed, a number of applications based on IoT innovations have emerged [...] Read more.
Technological innovations are regarded as the tools that can stimulate economic growth and the sustainable development of technology. In recent years, as technologies based on the internet of things (IoT) have rapidly developed, a number of applications based on IoT innovations have emerged and have been widely adopted by various public and private sectors. Applications of IoT in the manufacturing industry, such as manufacturing intelligence, not only play a significant role in the enhancement of industrial competitiveness and sustainability, but also influence the diffusion of innovative applications that are based on IoT innovations. It is crucial for policy makers to understand these potential reasons for stimulating IoT industrial sustainability, as they can facilitate industrial competitiveness and technological innovations using supportive means, such as government procurement and financial incentives. Therefore, there is a need to ascertain different factors that may affect IoT industrial sustainability and further explore the relationship between these factors. However, finding a set of factors that affects IoT industrial sustainability is not easy. Recently, the robustness of a theoretical framework, termed the technological innovation system (TIS), has been verified and has been used to explore and analyze technological and industrial development. Thus, it is suitable for this research to use this theoretical model. In order to find out appropriate factors and accurately analyze the causality among factors that influence IoT industrial sustainability, this research presents a Bayesian rough Multiple Criteria Decision Making (MCDM) model based on TIS functions by integrating random forest (RF), decision making trial and evaluation (DEMATEL), Bayesian theory, and rough interval numbers. The proposed analytical framework is validated by an empirical case of defining the causality between TIS functions to enable the industrial sustainability of IoT in the Taiwanese smart manufacturing industry. Based on the empirical study results, the cause group consists of entrepreneurial activities, knowledge development, market formation, and resource mobilization. The effect group is composed of knowledge diffusion through networks’ guidance of the search, and creation of legitimacy. Moreover, the analytical results also provide several policy suggestions promoting IoT industrial sustainability that can serve as the basis for defining innovation policy tools for Taiwan and late coming economies. Full article
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Open AccessArticle
Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method
Sustainability 2019, 11(3), 752; https://doi.org/10.3390/su11030752 - 31 Jan 2019
Cited by 4
Abstract
Identifying the key influencing factors that affected users’ adoption of sustainable mobile health care and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently; which can increase the quality and equity of [...] Read more.
Identifying the key influencing factors that affected users’ adoption of sustainable mobile health care and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently; which can increase the quality and equity of health services; so as to promote the sustainable development of medical resources. We integrated decision making trial and evaluation laboratory (DEMETEL)-based analytic network process (DANP) and a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to form a DDANPMV (DEMATEL+ DANP + Modified VIKOR) model to examine consumers’ adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option, but also use to identify and improve the performance gap of alternative products with the goal of satisfying the aspirations of consumers. Four types of mobile health care products were analyzed. The results indicate that social norms; product image; and consumer trust are three key factors in consumer adoption. The results can guide policy design and implementation. The government and enterprises should improve mobile health care through these three aspects. Full article
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