Special Issue "Algorithms for Multi-Criteria Decision-Making"

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: 15 November 2019.

Special Issue Editors

Guest Editor
Dr. Dragan Pamučar

Department of logistics, University of Defence, Military academy, Belgrade, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
Website | E-Mail
Interests: multi-criteria decision making problems; computational intelligence; sustainability Neuro-fuzzy systems; fuzzy; rough and intuitionistic fuzzy set theory; neutrosophic theory
Assistant Guest Editor
Dr. Željko Stević

Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Serbia
Website | E-Mail
Interests: multi-criteria decision making problems; logistics; supply chain management; transport; traffic engineering; rough set theory; sustainability; fuzzy set theory
Assistant Guest Editor
Dr. Prasenjit Chaterjee

Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah- 711204, West Bengal, India
Website | E-Mail
Interests: multi-criteria decision-making (MCDM); multi-objective decision-making (MODM); sustainability modelling; green supplychain management; manufacturing process optimization; fuzzy; rough and neutrosophic theories
Assistant Guest Editor
Dr. Sarfaraz Hashemkhani Zolfani

Catholic University of the North, School of Engineering, Larrondo 1281, Coquimbo, Chile
E-Mail
Interests: multiple criteria decision making (MADM); sustainability; strategic management; futures studies; prospective MADM; supply chain management

Special Issue Information

Dear Colleagues,

Decision-making is one of the most important topics in various fields, and refers to how to make the right decisions so as to reach a final goal. Therefore, the use of the multi-criteria decision-making (MCDM) method for solving problems in the different fields is very popular, and helps in making extremely important decisions. MCDM is an effective systematic and quantitative way to deal with problems in the presence of a number of alternatives and several usually conflicting criteria. Decision-making regarding very complex problems including business-related decisions and real-life decisions requires an appropriate and reliable decision support system (DSS). Considering, planning and appropriate decision-making requires the use of analytical methods that examine trade-offs, consider multiple scientific, political, economic, ecological and social dimensions, and reduces possible conflicts in an optimizing framework. MCDM approaches are considered the established methods to aid decision-makers in taking suitable decisions, and their applications are growing in popularity in many fields that include but are not limited to business management, logistics, supply chains, energy, urban development, waste management and so forth.

We hope that this Special Issue will stimulate both theoretical and applied research on the MCDM and related fields. It is certainly impossible in this short editorial to provide a more comprehensive description of all potential articles in this Special Issue. However, we sincerely hope that our effort in compiling these articles will enrich our readers and inspire researchers with regard to the seemingly common, but actually important issue of decision-making.

Dr. Dragan Pamučar
Dr. Željko Stević
Dr. Prasenjit Chaterjee
Dr. Sarfaraz Hashemkhani Zolfani
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. Algorithms 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 1000 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

  • fuzzy set theory
  • rough set theory
  • neutrosophic set theory
  • grey set theory
  • mathematical programming in MCDM
  • modelling in engineering applications
  • modeling in economic issues
  • sustainable waste management
  • sustainable agricultural practice
  • sustainable material selection
  • renewable energy planning
  • green supply chain management
  • environmental engineering
  • multi-criteria manufacturing and logistics processes planning
  • MCDM in strategic management
  • “future studies” and “technology foresight”
  • MCDM in governance and planning
  • MCDM and social issues
  • MCDM in flood risk management
  • new trends in multi-criteria evaluation
  • multi-criteria analysis in the circular economy
  • multi-criteria evaluation for urban and regional planning
  • integrated MCDM approaches for modeling relevant applications and real-life problems

Published Papers (3 papers)

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Research

Open AccessArticle
Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm
Algorithms 2019, 12(7), 143; https://doi.org/10.3390/a12070143
Received: 30 June 2019 / Revised: 15 July 2019 / Accepted: 16 July 2019 / Published: 19 July 2019
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Abstract
This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform [...] Read more.
This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form. Finally, two different types of secularization technique have been used to achieve the maximum degree of individually membership goals by minimizing their deviational variables and obtained the most satisfactory solution of the formulated problem. An illustrative real case study of production planning has been discussed and, also compared to validate the efficiency and usefulness of the proposed work. Full article
(This article belongs to the Special Issue Algorithms for Multi-Criteria Decision-Making)
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Open AccessArticle
A New Method for Markovian Adaptation of the Non-Markovian Queueing System Using the Hidden Markov Model
Algorithms 2019, 12(7), 133; https://doi.org/10.3390/a12070133
Received: 27 May 2019 / Revised: 21 June 2019 / Accepted: 25 June 2019 / Published: 28 June 2019
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Abstract
This manuscript starts with a detailed analysis of the current solution for the queueing system M/Er/1/∞. In the existing solution, Erlang’s service is caused by Poisson’s arrival process of groups, but not individual clients. The service of individual clients is still exponentially distributed, [...] Read more.
This manuscript starts with a detailed analysis of the current solution for the queueing system M/Er/1/∞. In the existing solution, Erlang’s service is caused by Poisson’s arrival process of groups, but not individual clients. The service of individual clients is still exponentially distributed, contrary to the declaration in Kendall’s notation. From the related theory of the Hidden Markov Model (HMM), for the advancement of queueing theory, the idea of “hidden Markov states” (HMS) was taken. In this paper, the basic principles of application of HMS have first been established. The abstract HMS states have a catalytic role in the standard procedure of solving the non-Markovian queueing systems. The proposed solution based on HMS exceeds the problem of accessing identical client groups in the current solution of the M/Er/r queueing system. A detailed procedure for the new solution of the queueing system M/Er/1/∞ is implemented. Additionally, a new solution to the queueing system M/N/1/∞ with a normal service time N(μ, σ) based on HMS is also implemented. Full article
(This article belongs to the Special Issue Algorithms for Multi-Criteria Decision-Making)
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Open AccessArticle
The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS
Algorithms 2019, 12(6), 119; https://doi.org/10.3390/a12060119
Received: 26 May 2019 / Revised: 5 June 2019 / Accepted: 6 June 2019 / Published: 10 June 2019
PDF Full-text (423 KB) | HTML Full-text | XML Full-text
Abstract
Blast-resistant buildings are mainly used to protect main instruments, controllers, expensive equipment, and people from explosion waves. Oil and gas industry projects almost always include blast-resistant buildings. For instance, based on a hazard identification (HAZID) and hazard and operability (HAZOP) analysis of a [...] Read more.
Blast-resistant buildings are mainly used to protect main instruments, controllers, expensive equipment, and people from explosion waves. Oil and gas industry projects almost always include blast-resistant buildings. For instance, based on a hazard identification (HAZID) and hazard and operability (HAZOP) analysis of a plant, control rooms and substations are sometimes designed to withstand an external free air explosion that generates blast over pressure. In this regard, a building façade is considered to be the first barrier of resistance against explosion waves, and therefore a building façade has an important role in reducing a building’s vulnerability and human casualties. In case of a lack of enough resistance, explosion waves enter a building and bring about irreparable damage to the building. Consequently, it seems important to study and evaluate various materials used in a façade against the consequences of an explosion. This study tried to make a comparison between different types of building facades against explosion waves. The materials used in a building play a key role in the vulnerability of a building. In this research, a literature review and the fuzzy Delphi method were applied to find the most critical criteria, and then a fuzzy evaluation based on the distance from the average solution (EDAS) was applied in order to assess various materials used in building facades from the perspective of resiliency. A questionnaire was presented to measure effective indices in order to receive experts’ ideas. Finally, by implementing this methodology in a case study, it was concluded that a stone façade performs much better against explosions. Full article
(This article belongs to the Special Issue Algorithms for Multi-Criteria Decision-Making)
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