Special Issue "Advanced Multiple Criteria Decision-Making Methods for Novel Applications"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Computational Methods".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Prof. Dr. Jei-Zheng Wu
Website SciProfiles
Guest Editor
Department of Business Administration, Soochow University, Taipei, Taiwan
Interests: multiple criteria decision-making (MCDM); intelligent manufacturing; supply chain management; operations management; metaheuristics
Prof. Dr. Chia-Yen Lee
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 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. 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 1500 CHF (Swiss Francs). Please note that for papers submitted after 31 December 2020 an APC of 2000 CHF applies. 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.


  • multiple criteria decision-making
  • interactive decision-making
  • group multiple criteria decision-making
  • multi-objective optimization
  • sustainability

Published Papers (1 paper)

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Open AccessArticle
A Novel Approach Integrating Intuitionistic Fuzzy Analytical Hierarchy Process and Goal Programming for Chickpea Cultivar Selection under Stress Conditions
Processes 2020, 8(10), 1288; https://doi.org/10.3390/pr8101288 - 14 Oct 2020
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
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