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New Applications in Multiple Criteria Decision Analysis II
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New Applications in Multiple Criteria Decision Analysis II

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 9845

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, including 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, and management and technology, which underlines growing digitalization and cooperative coordination between productive units in the economy, there are new concepts which do not utilize MCDA, and which can 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, as well as 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 upon those traditionally used, is also encouraged. 

The scope of this Special Issue covers applications in MCDA in new fields, subjects, or recent advances related to Industry 4.0, IoT, Big Data, e-education, etc., including subjects which have recently undergone substantial change and where MCDA techniques have not yet been included in the decision processes.

Dr. Maria 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 (7 papers)

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Research

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14 pages, 1219 KiB  
Article
Multi-Criteria Decision-Making in Public Procurement: An Empirical Study of Contractor Selection for Landslide Rehabilitation
by Anđelka Štilić, Adis Puška, Darko Božanić and Duško Tešić
Information 2023, 14(7), 357; https://doi.org/10.3390/info14070357 - 24 Jun 2023
Cited by 1 | Viewed by 983
Abstract
When carrying out construction work, identifying the best contractor is a critical component of the project life cycle in the construction industry. The investor must use effective and efficient strategies to create a competitive bidding environment in public projects. The research presented in [...] Read more.
When carrying out construction work, identifying the best contractor is a critical component of the project life cycle in the construction industry. The investor must use effective and efficient strategies to create a competitive bidding environment in public projects. The research presented in this paper was conducted to demonstrate the competitive nature of public procurements, where contractors compete to present the best bid and win the contract. To award the contract, the best offer must be selected. Based on different strategies and multi-criteria decision-making approaches this study proposes a method for identifying the most suitable strategy out of eight bidding strategies on four different lots, resulting in the most suitable one for landslide rehabilitation in the Brčko district. The results reveal the optimal approach to follow to minimize time and financial losses in the case of landslide rehabilitation during periods of market instability. Such research findings validate the efficiency of the bidding strategies-based decision-making support. The proposed method allows for compromise on both the completion date and the lowest bid made by the winning contractor. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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21 pages, 4782 KiB  
Article
Conflict Resolution as a Combinatorial Optimization Problem
by Ekaterina Antipova and Sergey Rashkovskiy
Information 2023, 14(5), 264; https://doi.org/10.3390/info14050264 - 29 Apr 2023
Viewed by 1035
Abstract
Within the framework of the mathematical theory of conflicts, we consider a multi-criterial conflict situation using the example of a child–parent conflict. A general method for constructing a conflict diagram is described and possible ways of the conflicting parties influencing each other in [...] Read more.
Within the framework of the mathematical theory of conflicts, we consider a multi-criterial conflict situation using the example of a child–parent conflict. A general method for constructing a conflict diagram is described and possible ways of the conflicting parties influencing each other in this conflict situation are discussed. We introduce criteria that characterize the intensity of conflicts and show that the conflict resolution problem can be reduced to a multi-criterial combinatorial optimization problem. As a method for solving this problem, we consider the Monte Carlo method (Metropolis algorithm). The performed parametric calculations demonstrate the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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22 pages, 3457 KiB  
Article
Application of Scenario Forecasting Methods and Fuzzy Multi-Criteria Modeling in Substantiation of Urban Area Development Strategies
by Natalia Sadovnikova, Oksana Savina, Danila Parygin, Alexey Churakov and Alexey Shuklin
Information 2023, 14(4), 241; https://doi.org/10.3390/info14040241 - 14 Apr 2023
Cited by 2 | Viewed by 1267
Abstract
The existing approaches to supporting the tasks of managing the urban areas development are aimed at choosing an alternative from a set of ready-made solutions. Little attention is paid to the procedure for the formation and analysis of acceptable options for the use [...] Read more.
The existing approaches to supporting the tasks of managing the urban areas development are aimed at choosing an alternative from a set of ready-made solutions. Little attention is paid to the procedure for the formation and analysis of acceptable options for the use of territories. The study's purpose is to understand how various factors affect the efficiency of using the city’s territory. In addition, we are trying to use this understanding to assess the possible consequences of the implementation of management decisions on the territory transformation. We use the method of structuring knowledge about the study area, taking into account the influence of the external environment. This method implements the significant factors list formation and assessment of their impact on development. Fuzzy cognitive modeling was used to build scenarios for identifying contradictions in achieving sustainable development goals. The scenario modeling results are necessary for the formation of the alternative. Alternatives are evaluated on the basis of fuzzy multi-criteria optimization. The integration of methods makes it possible to increase the objectivity of the analysis of strategies for urban areas development. The Belman-Zadeh method is used to analyze the selected options based on criteria that determine the feasibility and effectiveness of each project. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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18 pages, 6736 KiB  
Article
Enhanced Readability of Electrical Network Complex Emergency Modes Provided by Data Compression Methods
by Aleksandr Kulikov, Pavel Ilyushin and Anton Loskutov
Information 2023, 14(4), 230; https://doi.org/10.3390/info14040230 - 08 Apr 2023
Cited by 1 | Viewed by 1117
Abstract
Current microprocessor-based relay protection and automation (RPA) devices supported by IEC 61850 provide access to a large amount of information on the protected or controlled electric power facility in real time. The issue of using such information (Big Data) in order to improve [...] Read more.
Current microprocessor-based relay protection and automation (RPA) devices supported by IEC 61850 provide access to a large amount of information on the protected or controlled electric power facility in real time. The issue of using such information (Big Data) in order to improve the parameters of technical modification of intelligent electronic devices at digital substations remains unaddressed. Prerequisites arise for designing modern power systems with relay protection devices of a new generation based on new information algorithms. In particular, it is expedient to develop multi-parameter protections using more than one information parameter: modules of current, voltage, derivatives thereof, phase angles, active and reactive resistances, etc. An information approach based on multiple modeling and statistical processing of modeling results is also promising. This article explores the issues of enhanced sensitivity of multi-parameter relay protection using long-range redundancy protection as an example. Transition to “generalized features” is proposed in order to simplify multi-parameter protection and reduction in the computational load on the RPA device. Out of a large number of analyzed indicators (currents, voltages, their derivatives, resistances, increments of currents, angles between current and voltage, etc.), we specify the most informative by using the method of “data compression”. The transition to generalized features simplifies the parameterization of settings, and the process of making a decision by the relay protection device is reduced to obtaining a generalized feature and comparing it with a dimensionless setting in relative terms. For the formation of generalized information features, two mathematical methods are studied: the method of principal components and Fisher’s linear discriminant. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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22 pages, 2290 KiB  
Article
Elicitation of Key Factors to Support Information Technology Outsourcing in Technological Innovation Hubs: Applying a Multicriteria Analytical Framework
by Thalles André Cabral Silva, Victor Diogho Heuer de Carvalho, Robério José Rogério dos Santos, Thiago Poleto and Thyago Celso Cavalcante Nepomuceno
Information 2023, 14(3), 169; https://doi.org/10.3390/info14030169 - 07 Mar 2023
Viewed by 1515
Abstract
This work presents an analytical framework for eliciting key factors for successful relationships between parties in information technology outsourcing (ITO) projects. The proposal was based on a multicriteria analysis to identify key factors within the literature that were essential for the success of [...] Read more.
This work presents an analytical framework for eliciting key factors for successful relationships between parties in information technology outsourcing (ITO) projects. The proposal was based on a multicriteria analysis to identify key factors within the literature that were essential for the success of projects involving IT outsourcing. Using the multicriteria analysis method PROMETHEE II, the most important key factors were ranked according to the judgment of the managers of the companies in the innovation ecosystem of Alagoas, Brazil. The study was based on thirty-one judgment criteria that, in this case, were formed by the interviewed managers and twenty-one alternatives that were the key factors identified in the literature. This work contributes to composing a reference for the analysis of ITO projects and information governance, informing which factors should be prioritized according to the desired objective of the manager within the project. From the local perspective, the survey pointed to “quality production” as the most important factor, followed by “contract”, “top management engagement”, “risk management”, and “communication” as the most relevant factors for IT outsourcing success in the technological innovation hubs of Alagoas. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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13 pages, 5482 KiB  
Article
The Effect of Social Value Orientation on Theta to Alpha Ratio in Resource Allocation Games
by Dor Mizrahi, Inon Zuckerman and Ilan Laufer
Information 2023, 14(3), 146; https://doi.org/10.3390/info14030146 - 23 Feb 2023
Cited by 1 | Viewed by 1153
Abstract
The social value orientation (SVO) has a profound effect on the strategic decision making in economic choices and the ability to succeed in coordination games. With that in mind, in this study we wanted to examine an electrophysiological measure elicited in different resource [...] Read more.
The social value orientation (SVO) has a profound effect on the strategic decision making in economic choices and the ability to succeed in coordination games. With that in mind, in this study we wanted to examine an electrophysiological measure elicited in different resource allocation problems that affect the preferences of the player. We recorded EEG from participants while they were engaged in different allocation problems varying in the magnitude of reward and the difference size between alternative choices. We found that the theta to alpha ratio (TAR) can differentiate between individualistic and prosocial players. Specifically, individualistic players were more sensitive to the magnitude of the overall payoff (reflected by the radius size) as well as to the difference between two reward alternatives in the resource allocation task. These two variables, reward magnitude, and the difference between payoff alternatives, have significantly differentiated between the TAR levels of prosocials and proselfs (p < 0.001). For extreme differences (small or large), TAR was higher in comparison to medium sized differences. Our results demonstrated that in resource allocation games the TAR can be predicted based on the parameters of the task and the SVO category of the player (prosocial or individualistic). Specifically, an interaction was found between the attractiveness of the reward (radius) as well as the conflict between alternatives (Δ∅) and the SVO of the player at a significance level of p < 0.0001. These results highlight the importance of the SVO construct in economic decision choices varying in both reward magnitude and the proximity between alternative choices. Suggestions for future studies are discussed. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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Review

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23 pages, 5642 KiB  
Review
Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
by Pummy Dhiman, Anupam Bonkra, Amandeep Kaur, Yonis Gulzar, Yasir Hamid, Mohammad Shuaib Mir, Arjumand Bano Soomro and Osman Elwasila
Information 2023, 14(10), 541; https://doi.org/10.3390/info14100541 - 03 Oct 2023
Cited by 4 | Viewed by 1656
Abstract
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Explainable Artificial Intelligence (XAI), a [...] Read more.
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Explainable Artificial Intelligence (XAI), a revolutionary movement, has arisen to solve this constraint. By using decision-making and prediction outputs, XAI seeks to improve the explicability of standard AI models. In this study, we examined global developments in empirical XAI research in the medical field. The bibliometric analysis tools VOSviewer and Biblioshiny were used to examine 171 open access publications from the Scopus database (2019–2022). Our findings point to several prospects for growth in this area, notably in areas of medicine like diagnostic imaging. With 109 research articles using XAI for healthcare classification, prediction, and diagnosis, the USA leads the world in research output. With 88 citations, IEEE Access has the greatest number of publications of all the journals. Our extensive survey covers a range of XAI applications in healthcare, such as diagnosis, therapy, prevention, and palliation, and offers helpful insights for researchers who are interested in this field. This report provides a direction for future healthcare industry research endeavors. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: A study on the applicability of the emergence decision-making framework to support a geophysical traffic-light system
Authors: Mikhail Yurievich Nikolaev; Clement Fortin; Sergey Borisovich Turuntaev; Nikolay Aleksandrovich Baryshnikov
Affiliation: 1 – Skolkovo Institute of Science and Technology, Moscow, 121205 Russia 2 – Sadovsky Institute of Geosphere Dynamics of the Russian Academy of Sciences, Moscow, 119334 Russia
Abstract: This paper is devoted to the multi-criteria decision-making (MCDM) topic from systems engineering applied to a relatively rare domain of application: seismicity induced by hydrocarbon field developments and by geothermal projects. In geophysics, the so-called traffic-light system (TLS) is a statistical approach for responding to injection-induced seismicity. Based on monitored geophysical parameters, it allows preventing excessive fluid injection in Earth’s depths that can lead to negative seismic events, e.g. earthquakes. TLS functioning is intimately linked with making operational engineering decisions: continue or stop injection of fluid, which injection rate to allow, etc. Recently, in systems engineering, a new MCDM-framework based on complex systems emergent properties, called the emergence decision-making framework (EDMF), was introduced. Systems emergent properties represent function, performance, benefit, and other engineering and strategic-level properties common to complex systems. This framework allows MCDM from the perspective of systems thinking and can potentially be applied to improve TLS operation. The current paper is devoted to investigating opportunities of using EDMF for improving TLS functioning. It includes overviews on TLS and EDMF, description of modified EDMF, and a retrospective case study on a relatively recent geothermal project. Overall, this paper outlines the advantages brought to TLS via the use of EDMF, and how the results of systems engineering research can be complemented by practical application in Earth Science.

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