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Information
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New Applications in Multiple Criteria Decision Analysis
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New Applications in Multiple Criteria Decision Analysis

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 9466

Special Issue Editor

Dr. Maria Carmen Carnero

E-Mail Website
Guest Editor
Technical School of Industrial Engineering, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
Interests: multi-criteria decision making; maintenance; assessment systems; benchmarking; health care organizations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Multi-Criteria Decision Analysis (MCDA) techniques have been used successfully in many real-world problems. For example, in the fields of logistics, finance, environment, diagnostics, technology selection, etc. However, due to the revolution driven by Industry 4.0, with new breakthroughs in data integration, devices, knowledge techniques, innovation, management and technology, which underlines growing digitalisation and cooperative coordination between productive units in the economy, there are new concepts which do not utilize MCDA, and which would be greatly advanced by including these techniques in decision processes. A similar revolution is happening in education, which is increasingly heading towards e-learning and web-based learning, and the management of industrial assets. 

All MCDA techniques are welcome, especially combined techniques, the inclusion of fuzzy sets or group decision making. The application of minority techniques, or ones that improve on those traditionally used, are also encouraged. 

The scope of this issue is applications in MCDA in new fields, subjects, or recent advances related to Industry 4.0, IoT or big data, e-education, etc.; that is, subjects which have recently undergone substantial change and where MCDA techniques have not yet been included in the decision processes.

Dr. María Carmen Carnero
Guest Editor

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. Information 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 1600 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

  • Applications in health care organizations
  • Applications in service industries
  • Applications in Industry 4.0
  • Applications in circular economy
  • Applications in new methodologies or technologies in education, e-learning and web-based learning
  • Applications in asset management
  • Applications in Internet of Things (IoT) and cloud
  • Applications in IoT data access and integration
  • Applications in data security, privacy and General Data Protection Regulation (GDPR)
  • Applications in benchmarking
  • Applications in artificial intelligence and machine learning
  • Applications in big data
  • Applications in security and health and safety at work
  • Applications in ethical and moral conflicts related to Industry 4.0
  • Applications in defense and military
  • Application in social engineering
  • Applications in corporate social responsibilities
  • Applications in risk and uncertainty management
  • Applications in software and apps

Published Papers (4 papers)

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Research

22 pages, 1505 KiB  
Article
Identifying Critical Indicators in the Evaluation of Third-Party Reverse Logistics Provider Using Best–Worst Method
by Changlu Zhang, Liqian Tang and Jian Zhang
Information 2023, 14(5), 291; https://doi.org/10.3390/info14050291 - 14 May 2023
Cited by 1 | Viewed by 1380
Abstract
Evaluation and selection of a third-party reverse logistics provider (3PRLP) is an important tool for enterprises to improve the level of reverse logistics management. The identification of critical indicators plays a crucial role in the evaluation process. Firstly, on the basis of fully [...] Read more.
Evaluation and selection of a third-party reverse logistics provider (3PRLP) is an important tool for enterprises to improve the level of reverse logistics management. The identification of critical indicators plays a crucial role in the evaluation process. Firstly, on the basis of fully considering the characteristics of 3PRLP evaluation and selection, we summarized 27 evaluation indicators from 5 dimensions—overall operation level, management service level, information technology level, social and ecological benefits, and strategic alliance. Secondly, we adopted the Delphi method to determine the formal evaluation index system, and the best–worst method (BWM) to calculate the weight of each indicator. We determined the critical evaluation indicators on the basis of the weights. Finally, based on our results, corresponding countermeasures and implications regarding the process of 3PRLP evaluation were put forward. The research results show that the critical indicators include transportation allocation capacity, network coverage, service price level, service response speed, recovery efficiency, and service flexibility level. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis)
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29 pages, 2759 KiB  
Article
Multi-Attribute Group Decision-Making Based on Interval-Valued q-Rung Orthopair Fuzzy Power Generalized Maclaurin Symmetric Mean Operator and Its Application in Online Education Platform Performance Evaluation
by Jun Wang and Yang Zhou
Information 2021, 12(9), 372; https://doi.org/10.3390/info12090372 - 13 Sep 2021
Cited by 6 | Viewed by 1813
Abstract
This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method based on interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs). The IVq-ROFSs have been proved to be effective in handling MAGDM problems, and several novel decision-making methods have been proposed. Nevertheless, it is [...] Read more.
This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method based on interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs). The IVq-ROFSs have been proved to be effective in handling MAGDM problems, and several novel decision-making methods have been proposed. Nevertheless, it is worth pointing out that these approaches still have some limitations, and there still exist some realistic situations that cannot be solved by existing MAGDM methods. Hence, the objective of this paper is to introduce a novel MAGDM method, which can overcome some of the drawbacks of existing approaches. To effectively and appropriately aggregate interval-valued q-rung orthopair fuzzy numbers (IVq-ROFNs), we combine the power average with generalized Maclaurin symmetric mean (GMSM), propose the power GMSM operator and extend it into IVq-ROFSs. Afterwards, a collection of new aggregation operators for IVq-ROFNs are developed. In this paper, we study definitions of these operators and investigate their characteristics as well as special cases. Then, based on the new aggregation operators, we present a new MAGDM method. Finally, we apply the proposed MAGDM method in online education platform performance evaluation to illustrate its effectiveness and validity. In addition, we also provide comparative analysis to explain why decision-makers should use our method instead of the others. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis)
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20 pages, 797 KiB  
Article
What Drives Authorization in Mobile Applications? A Perspective of Privacy Boundary Management
by Jie Tang, Bin Zhang and Umair Akram
Information 2021, 12(8), 311; https://doi.org/10.3390/info12080311 - 30 Jul 2021
Cited by 1 | Viewed by 2689
Abstract
Personal information has been likened to “golden data”, which companies have chased using every means possible. Via mobile apps, the incidents of compulsory authorization and excessive data collection have evoked privacy concerns and strong repercussions among app users. This manuscript proposes a privacy [...] Read more.
Personal information has been likened to “golden data”, which companies have chased using every means possible. Via mobile apps, the incidents of compulsory authorization and excessive data collection have evoked privacy concerns and strong repercussions among app users. This manuscript proposes a privacy boundary management model, which elaborates how such users can demarcate and regulate their privacy boundaries. The survey data came from 453 users who authorized certain operations through mobile apps. The partial least squares (PLS) analysis method was used to validate the instrument and the proposed model. Results indicate that information relevance and transparency play a significant role in shaping app users’ control–risk perceptions, while government regulation is more effective than industry self-discipline in promoting the formation of privacy boundaries. Unsurprisingly, privacy risk control perceptions significantly affect users’ privacy concerns and trust beliefs, which are two vital factors that ultimately influence their willingness to authorize. The implications of conducting a thorough inquiry into app users’ willingness to authorize their privacy information are far-reaching. In relation to this, app vendors should probe into the privacy-relevant beliefs of their users and enact effective privacy practices to intercept the economic and reputational damages induced by improper information collection. More significantly, a comprehensive understanding of users’ willingness to authorize their information can serve as an essential reference for relevant regulatory bodies to formulate reasonable privacy protection policies in the future. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis)
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16 pages, 1941 KiB  
Article
Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator
by Yongchao Cao, Huimin Li and Limin Su
Information 2020, 11(9), 451; https://doi.org/10.3390/info11090451 - 17 Sep 2020
Cited by 6 | Viewed by 2209
Abstract
An appropriate project delivery system plays an essential role in sustainable construction project management. Due to the complexity of practical problems and the ambiguity of human thinking, selecting an appropriate project delivery system (PDS) is an enormous challenge for owners. This paper aims [...] Read more.
An appropriate project delivery system plays an essential role in sustainable construction project management. Due to the complexity of practical problems and the ambiguity of human thinking, selecting an appropriate project delivery system (PDS) is an enormous challenge for owners. This paper aims to develop a PDS selection method to deal with the related-indicators case by combining the advantages of Pythagorean fuzzy sets (PFSs) and Pythagorean fuzzy weighted Muirhead mean (PFWMM) operators. The contributions of this paper are as follows: (1) This study innovatively introduced the PFWMM operator to deal with PDS selection problems for the case of the relevance among all indicators affecting PDSs selection in a complex environment. (2) A new method of solving indicators’ weights was proposed to adapt to the related-indicators PDS selection problem, through investigating the differences between the ideal PDS and the alternative PDS under all indicators. (3) A decision-making framework for PDS selection was constructed by comprehensive use of the advantages of PFSs and the PFWMM operator in dealing with related-indicators PDS decision-making problems. An example of selecting a PDS is exhibited to illustrate the effectiveness and applicability of the proposed method. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis)
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