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Algorithms
Special Issues
Algorithms for Multi-Criteria Decision-Making
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Algorithms for Multi-Criteria Decision-Making

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

Deadline for manuscript submissions: closed (15 November 2019) | Viewed by 20724

Special Issue Editors

Dr. Dragan Pamucar

grade E-Mail Website
Guest Editor
Department of logistics, University of Defence, Belgrade, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
Interests: multi-criteria decision making problems; computational intelligence; sustainability neuro-fuzzy systems; fuzzy; rough and intuitionistic fuzzy set theory; neutrosophic theory
Special Issues, Collections and Topics in MDPI journals
Dr. Željko Stević

E-Mail Website
Assistant Guest Editor
Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina
Interests: logistics; transport; supply chain; multi-criteria decision making; sustainable engineering; fuzzy set; rough set
Special Issues, Collections and Topics in MDPI journals
Dr. Prasenjit Chaterjee

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

E-Mail Website
Assistant Guest Editor
School of Engineering, Catholic University of the North, Larrondo 1281, Coquimbo, Chile
Interests: multiple-criteria decision making (MCDM); fuzzy set theory; sustainability; supply chain management; strategic management
Special Issues, Collections and Topics in MDPI journals

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 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. 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 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

  • 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

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Published Papers (4 papers)

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Research

24 pages, 570 KiB  
Article
Multiple-Attribute Decision Making ELECTRE II Method under Bipolar Fuzzy Model
by Shumaiza, Muhammad Akram and Ahmad N. Al-Kenani
Algorithms 2019, 12(11), 226; https://doi.org/10.3390/a12110226 - 29 Oct 2019
Cited by 52 | Viewed by 5466
Abstract
The core aim of this paper is to provide a new multiple-criteria decision making (MCDM) model, namely bipolar fuzzy ELimination and Choice Translating REality (ELECTRE) II method, by combining the bipolar fuzzy set with ELECTRE II technique. It can be used to solve [...] Read more.
The core aim of this paper is to provide a new multiple-criteria decision making (MCDM) model, namely bipolar fuzzy ELimination and Choice Translating REality (ELECTRE) II method, by combining the bipolar fuzzy set with ELECTRE II technique. It can be used to solve the problems having bipolar uncertainty. The proposed method is established by defining the concept of bipolar fuzzy strong, median and weak concordance as well as discordance sets and indifferent set to define two types of outranking relations, namely strong outranking relation and weak outranking relation. The normalized weights of criteria, which may be partly or completely unknown for decision makers, are calculated by using an optimization technique, which is based on maximizing deviation method. A systematic iterative procedure is applied to strongly outrank as well as weakly outrank graphs to determine the ranking of favorable actions or alternatives or to choose the best possible solution. The implementation of the proposed method is presented by numerical examples such as selection of business location and to chose the best supplier. A comparative analysis of proposed ELECTRE II method is also presented with already existing multiple-attribute decision making methods, including Technique for the Order of Preference by Similarity to an Ideal Solution (TOPSIS) and ELECTRE I under bipolar fuzzy environment by solving the problem of business location. Full article
(This article belongs to the Special Issue Algorithms for Multi-Criteria Decision-Making)
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18 pages, 676 KiB  
Article
Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm
by Murshid Kamal, Srikant Gupta, Prasenjit Chatterjee, Dragan Pamucar and Zeljko Stevic
Algorithms 2019, 12(7), 143; https://doi.org/10.3390/a12070143 - 19 Jul 2019
Cited by 16 | Viewed by 4359
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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11 pages, 2073 KiB  
Article
A New Method for Markovian Adaptation of the Non-Markovian Queueing System Using the Hidden Markov Model
by Ilija Tanackov, Olegas Prentkovskis, Žarko Jevtić, Gordan Stojić and Pamela Ercegovac
Algorithms 2019, 12(7), 133; https://doi.org/10.3390/a12070133 - 28 Jun 2019
Cited by 5 | Viewed by 4558
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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15 pages, 423 KiB  
Article
The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS
by Hamidreza Hasheminasab, Sarfaraz Hashemkhani Zolfani, Mahdi Bitarafan, Prasenjit Chatterjee and Alireza Abhaji Ezabadi
Algorithms 2019, 12(6), 119; https://doi.org/10.3390/a12060119 - 10 Jun 2019
Cited by 11 | Viewed by 4514
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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