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Processes
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Advanced Multiple Criteria Decision-Making Methods for Novel Applications
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Advanced Multiple Criteria Decision-Making Methods for Novel Applications

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 16773

Special Issue Editors

Prof. Dr. Jei-Zheng Wu

E-Mail Website
Guest Editor
Department of Business Administration, Soochow University, Taipei, Taiwan
Interests: multiple criteria decision-making (MCDM); intelligent manufacturing; supply chain management; operations management; metaheuristics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Chia-Yen Lee

E-Mail Website
Guest Editor
Department of Information Management, National Taiwan University, Taiwan
Interests: data science; data envelopment analysis; intelligent manufacturing systems; multi-criteria decision analysis

Special Issue Information

Dear Colleagues,

The seamless integration of intelligence and decision technologies has resulted in the emergence of artificial intelligence, which has become the trend of future factories, logistics, and the global supply chain. The next generation of intelligence will be human-centered and have more capabilities for human–human and human–machine collaboration. However, there exist incommensurable multiple criteria in these human–human and human–machine interactions that require elicitation of decision-makers’ preferences. Multiple criteria decision-making (MCDM) methods can handle incommensurable criteria and have pervasive applications. For example, multiobjective outsourcing and capacity planning are common when addressing the product mix, process, and machine flexibilities (i.e., backups among different product families and technologies) for maximizing the synergistic benefits of revenue growth, profitability, and outputs. It becomes even more challenging to incorporate sustainability into the modeling of supply chains when environmental and social factors must be considered in addition to conventional economic benefits. In the digitalized and intelligent manufacturing era, the broader coverage of responses to strategic objectives and customer preferences from operational-level decisions is crucial. It has become important to perform alternative trade-offs among multiple criteria such as revenue, cost, speed, service level, and flexibility. The effectiveness of MCDM methods becomes even more important when decisions are made by machines or robots with less human involvement because identifying the true preferred alternative is the most difficult part of validating MCDM methods. To further accomplish next-generation artificial intelligence, this Special Issue aims to develop advanced MCDM with novel applications in a direction of research that continues to remain relevant.

Relevant novel applications using MCDM methods include (but are not limited to) the following:

  • Advanced MCDM methods
  • Novel applications of MCDM methods
  • Novel algorithms for MCDM with novel applications
  • Relevant group MCDM methods with novel applications
  • Validation, effectiveness, consistency, efficiency issues of MCDM/GMCDM methods

Prof. Dr. Jei-Zheng Wu
Prof. Dr. Chia-Yen Lee
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. Processes 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 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 criteria decision-making
  • interactive decision-making
  • group multiple criteria decision-making
  • multi-objective optimization
  • sustainability

Published Papers (5 papers)

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Research

17 pages, 4737 KiB  
Article
Strengthening Criteria Independence through Optimization of Alternative Value Ratio Comparisons
by Joseph Kristbaum and Frank Ciarallo
Processes 2022, 10(7), 1301; https://0-doi-org.brum.beds.ac.uk/10.3390/pr10071301 - 30 Jun 2022
Viewed by 1035
Abstract
Every decision maker’s internal scale is different based on a myriad of possible factors unique to that decision maker. Conflicting criteria within and between alternatives in multicriteria decision making can create negative effects within the weighting schemes and amplify preference biases and scale [...] Read more.
Every decision maker’s internal scale is different based on a myriad of possible factors unique to that decision maker. Conflicting criteria within and between alternatives in multicriteria decision making can create negative effects within the weighting schemes and amplify preference biases and scale disparities between decision makers in a group decision context. Additionally, the weighting of group decision-making frameworks can intensify the already skewed criteria values. When making judgments against requirements, it may be preferable to reduce scale trend distortions between decision makers as much as possible. Previous research supports that certain information presentation modes can significantly reduce preference bias and strengthen criteria independence against requirements through cross alternative anchoring. This paper expands that research and proposes a new optimization model for strengthening criteria independence and consensus in group decision making. Initial results indicate the proposed optimization model can significantly reduce scale distortions and smooth comparative alternative value trends between decision makers toward strengthened group consensus. Furthermore, results support the potential and opportunity for semiautonomous group consensus processes. Full article
(This article belongs to the Special Issue Advanced Multiple Criteria Decision-Making Methods for Novel Applications)
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20 pages, 3325 KiB  
Article
A Multicriteria Decision Trading System Based on Prospect Theory: A Risk Return Analysis of the TODIM Method
by Bruna Puppo, Michel Leles, Leonardo Mozelli and Elton Sbruzzi
Processes 2022, 10(3), 609; https://doi.org/10.3390/pr10030609 - 21 Mar 2022
Cited by 2 | Viewed by 2286
Abstract
This paper proposes a trading system (TS) based on a multicriteria decision aid (MCDA) process known as TODIM, (Multicriteria Interactive Decision Making) a Portuguese acronym for interactive and multicriteria decision-making. MCDA has been employed to solve financial questions because of its ability to [...] Read more.
This paper proposes a trading system (TS) based on a multicriteria decision aid (MCDA) process known as TODIM, (Multicriteria Interactive Decision Making) a Portuguese acronym for interactive and multicriteria decision-making. MCDA has been employed to solve financial questions because of its ability to deal with a complex environment populated with different sorts of criteria and alternatives, such as financial markets. The aim is to propose a general and adaptive tool for supporting the trading strategies of investors and market practitioners in such an environment. The reason for selecting TODIM among the different MCDA methods is that it is based on prospect theory, which assumes that the risk profile of the investor varies according to different situations, considering the risk of loss or gain. A list of simulations using some of the most prominent Brazilian stocks is performed, and the results are compared with the Buy-and-Hold benchmark and a TS based on an ensemble method for selecting trading rules. The results show that, compared to Buy-and-Hold, a TODIM-based TS provides the same level of return with a lower level of risk exposure. The consequence is superior risk adjustment parameters. As a result, we have a model with similar results in profit, but with superior results in relation to risk-based performance, which makes the method advantageous in relation to similar ones. Full article
(This article belongs to the Special Issue Advanced Multiple Criteria Decision-Making Methods for Novel Applications)
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20 pages, 1452 KiB  
Article
Fuzzy Multi-Criteria Decision-Making Approach for Online Food Delivery (OFD) Companies Evaluation and Selection: A Case Study in Vietnam
by Ngoc Bao Tu Nguyen, Gu-Hong Lin and Thanh-Tuan Dang
Processes 2021, 9(8), 1274; https://0-doi-org.brum.beds.ac.uk/10.3390/pr9081274 - 23 Jul 2021
Cited by 22 | Viewed by 7057
Abstract
The COVID-19 pandemic has boosted the growth of the online food delivery (OFD) market in every corner of the world. In Vietnam, the food delivery service is rising rapidly and opening a large gateway of opportunities for numerous OFD platforms, also making it [...] Read more.
The COVID-19 pandemic has boosted the growth of the online food delivery (OFD) market in every corner of the world. In Vietnam, the food delivery service is rising rapidly and opening a large gateway of opportunities for numerous OFD platforms, also making it a competing business market in this country. Thus, to keep up with the ever-changing market dynamics, there are numerous measures and dimensions for the OFD entrepreneurs to take into consideration towards sustainable development. This paper’s objective is to evaluate major OFD companies in Vietnam based on a comprehensive set of criteria, which are social and environmental criteria (healthy and safety, information security, and environmental impact), economic criteria (delivery cost, operational capability, and risk management), service quality (order fulfillment, delivery speed, convenience of payment, online/offline service level, and customer feedback), and technology (web design, real-time tracking systems, and marketing techniques). To achieve this objective, this work proposes a multi-criteria decision-making (MCDM)-based framework combining the fuzzy analytic hierarchy process (FAHP) and the weighted aggregated sum product assessment (WASPAS). The FAHP is used to generate criteria weights in which fuzzy set theory is applied to translate the linguistic evaluation statements of experts. Then, WASPAS is used to rank the OFD companies against the selected criteria. The evaluation criteria that have obtained maximum weight priority in the FAHP analysis are “convenience of payment”, “delivery speed”, “online service level”, “order fulfillment”, and “delivery cost”. From the final ranking of WASPAS, Foody is today the best performing OFD player in Vietnam regarding the selected criteria, followed by GrabFood and Now. The proposed methodology can be an accurate and robust evaluation model for the industry, while the managerial implications of this study provide significant materials for decision-makers in the OFD market in improving their businesses towards sustainable development. Full article
(This article belongs to the Special Issue Advanced Multiple Criteria Decision-Making Methods for Novel Applications)
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14 pages, 1437 KiB  
Article
Multiple Criteria Decision-Making: A Novel Applications of Network DEA Model
by Chang-Hsu Chen, Wen-Bin Lin, Shih-Chieh Yang and Richard Hsiao
Processes 2020, 8(11), 1482; https://0-doi-org.brum.beds.ac.uk/10.3390/pr8111482 - 17 Nov 2020
Cited by 2 | Viewed by 2195
Abstract
Do retired professional baseball players become effective coaches? Are Taiwanese coaches up to the job of coaching in the Chinese Professional Baseball League (CPBL)? What are the key coaching factors affecting a CPBL team’s performance in the regular-season? In this study, we examine [...] Read more.
Do retired professional baseball players become effective coaches? Are Taiwanese coaches up to the job of coaching in the Chinese Professional Baseball League (CPBL)? What are the key coaching factors affecting a CPBL team’s performance in the regular-season? In this study, we examine the key coaching factors affecting the efficiency of CPBL teams from the perspective of efficiency and productivity, using network data envelopment analysis, truncated regression analysis, and bootstrapping methods to provide specific recommendations. We calculated the efficiency of each CPBL team from the 2014 to 2016 regular-seasons. First, the “ex-member” indicator had a significant negative impact on team performance, indicating that a coaching team consisting of coaches with different backgrounds or experience is advantageous to a team’s performance in games; and second, the “ex-professional player” indicator had a significant impact on team performance in the regular season, indicating that the valuable experience of retired professional baseball players definitely has value. The proposed model, after being modified appropriately according to practical needs, can be widely applied to comprehensively track the coaching ability of professional baseball teams and coaches, as well as the players’ ability and efficiency, and will help implement improvements in all aspects of performance management with originality and significant impact. Full article
(This article belongs to the Special Issue Advanced Multiple Criteria Decision-Making Methods for Novel Applications)
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20 pages, 1955 KiB  
Article
A Novel Approach Integrating Intuitionistic Fuzzy Analytical Hierarchy Process and Goal Programming for Chickpea Cultivar Selection under Stress Conditions
by Ilknur Karacan, Ozlem Senvar, Ozlem Arslan, Yasemin Ekmekçi and Serol Bulkan
Processes 2020, 8(10), 1288; https://0-doi-org.brum.beds.ac.uk/10.3390/pr8101288 - 14 Oct 2020
Cited by 14 | Viewed by 2110
Abstract
Chickpea (Cicer arietinum L.) is a quite high nutrient and widespread legume that is consumed globally. Similar to many plants, chickpea is sensitive to environmental stresses. The major goal of the breeders is to achieve the most tolerant cultivars. This study aims [...] Read more.
Chickpea (Cicer arietinum L.) is a quite high nutrient and widespread legume that is consumed globally. Similar to many plants, chickpea is sensitive to environmental stresses. The major goal of the breeders is to achieve the most tolerant cultivars. This study aims to determine the tolerance level of chickpea cultivars against cold and drought stresses. The cultivars in the scope of this study are the ones that are officially identified and grown in Turkey. Ranking alternatives according to multiple criteria is difficult and requires a systematic approach. Thus, a coherent multi criteria decision making (MCDM) methodology is proposed in order to ease the ranking process. The methodology includes integration of intuitionistic fuzzy analytical hierarchy process (IF-AHP) with group decision making (GDM) and goal programming (GP). This integration presents a robust ranking according to criteria that are appraised by talented experts. Applying the methodology to the data, results in the order of chickpea cultivars with regard to their cumulative tolerance to cold and drought stresses. Diyar 95 spearheads this list with its utmost performance. The main contribution of this study is the proposition of the powerful MCDM approach with systematic procedure for the ranking process of cultivars. The proposed methodology has a generic structure that can be applied to various stress problems for different plants. Full article
(This article belongs to the Special Issue Advanced Multiple Criteria Decision-Making Methods for Novel Applications)
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