Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment

With the rapid outbreak of COVID-19, most people are facing antivirus mask shortages. Therefore, it is necessary to reasonably select antivirus masks and optimize the use of them for everyone. However, the uncertainty of the effects of COVID-19 and limits of human cognition add to the difficulty for decision makers to perfectly realize the purpose. To maximize the utility of the antivirus mask, we proposed a decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set. In it, firstly, we analyzed the new score and accuracy function, improved operational rules, and their properties. Then, in line with these operations, we developed the SpNoF Bonferroni mean operator and the weighted Bonferroni mean operator, some properties of which are also examined. Furthermore, we established a multi-criteria decision-making method, based on the proposed operators, with SpNoF information. Finally, a numerical example on antivirus mask selection over the COVID-19 pandemic was given to verify the practicability of the proposed method, which the sensitive and comparative analysis was based on and was conducted to demonstrate the availability and superiority of our method.

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Multi-Criteria Decision-Making for Airport Operation Performance Using Triangular Fuzzy Numbers

Scientific Inquiry and Review ◽

10.32350/sir.33.01 ◽

2019 ◽

Vol 3 (3) ◽

pp. 01-15

Author(s):

Adeel Ahmad ◽

Sana Akram ◽

Muhammad Farhan Tabassum ◽

Alia Kausar ◽

Nousheen Ilyas

Keyword(s):

Decision Making ◽

Fuzzy Numbers ◽

Decision Makers ◽

Multi Criteria Decision Making ◽

Triangular Fuzzy Numbers ◽

Operation Performance ◽

Linguistic Form ◽

Fuzzy Environment ◽

Simple Additive Weighting

This paper advocates Multi-Criteria Decision-Making (MCDM) which evaluates the operation performance of airports using Fuzzy Simple Additive Weighting (FSAW) method. Assigned weights by decision- makers were in a linguistic form. These linguistic forms were converted into triangular fuzzy numbers. We chose three airports designated as A1, A2 and A3 and examined by four decision makers D1, D2, D3 and D4 under a fuzzy environment for performance against the chosen criteria. FSAW method gives similar decision results which shows that this method is effective, relevant and reliable for this kind of MCDM.

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Plithogenic n-Super Hypergraph in Novel Multi-Attribute Decision Making

10.54216/ijns.070101 ◽

2020 ◽

pp. 08-30

Author(s):

Florentin .. ◽

◽

Nivetha Martin

Keyword(s):

Decision Making ◽

Research Work ◽

Decision Makers ◽

Optimal Decision ◽

The Novel ◽

Multi Attribute Decision Making ◽

Vertex Classification ◽

Optimal Decision Making ◽

Novel Concept

An optimal decision-making environment demands feasible Multi-Attribute Decision-Making methods. Plithogenic n – Super Hypergraph introduced by Smarandache is a novel concept and it involves many attributes. This article aims to bridge the concept of Plithogenic n-Super Hypergraph in the vicinity of optimal decision making. This research work introduces the novel concepts of enveloping vertex, super enveloping vertex, dominant enveloping vertex, classification of the dominant enveloping vertex (input, intervene, output dominant enveloping vertices), plithogenic connectors. An application of Plithogenic n-super hypergraph in making optimum decisions is discussed under various decision-making scenarios. Several insights are drawn from this research work and will certainly benefit the decision-makers to overcome the challenges in building decisions.

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From Goal Programming for Continuous Multi-Criteria Optimization to the Target Decision Rule for Mixed Uncertain Problems

Entropy ◽

10.3390/e24010051 ◽

2021 ◽

Vol 24 (1) ◽

pp. 51

Author(s):

Helena Gaspars-Wieloch

Keyword(s):

Decision Making ◽

Decision Rule ◽

Goal Programming ◽

Decision Makers ◽

Decision Making Under Uncertainty ◽

Multi Criteria Decision Making ◽

The Novel ◽

Continuous Version ◽

Novel Approach

Goal programming (GP) is applied to the discrete and continuous version of multi-criteria optimization. Recently, some essential analogies between multi-criteria decision making under certainty (M-DMC) and scenario-based one-criterion decision making under uncertainty (1-DMU) have been revealed in the literature. The aforementioned similarities allow the adjustment of GP to an entirely new domain. The aim of the paper is to create a new decision rule for mixed uncertain problems on the basis of the GP methodology. The procedure can be used by pessimists, optimists and moderate decision makers. It is designed for one-shot decisions. One of the significant advantages of the novel approach is related to the possibility to analyze neutral criteria, which are not directly taken into account in existing classical procedures developed for 1-DMU.

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Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200200 ◽

2020 ◽

Vol 39 (3) ◽

pp. 4041-4058

Author(s):

Fang Liu ◽

Xu Tan ◽

Hui Yang ◽

Hui Zhao

Keyword(s):

Decision Making ◽

Decision Makers ◽

Real Interval ◽

Preference Relations ◽

Intuitionistic Fuzzy ◽

Proposed Model ◽

Fuzzy Preference Relations ◽

Novel Concept ◽

Fuzzy Weights ◽

Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) ◽

10.30645/jurasik.v3i0.63 ◽

2018 ◽

Vol 3 ◽

pp. 14

Author(s):

Lidia K Simanjuntak ◽

Tessa Y M Sihite ◽

Mesran Mesran ◽

Nuning Kurniasih ◽

Yuhandri Yuhandri

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Action Selection ◽

Multi Criteria Decision Making ◽

Prospective Students ◽

College Entrance ◽

Electre Method ◽

Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

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A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

Applied Sciences ◽

10.3390/app11041660 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1660 ◽

Cited By ~ 1

Author(s):

Ivan Marović ◽

Monika Perić ◽

Tomaš Hanak

Keyword(s):

Decision Making ◽

Decision Support ◽

Project Performance ◽

Decision Makers ◽

Construction Project Management ◽

Analytic Hierarchy ◽

Conflicting Demands ◽

Decision Making Problem ◽

Scientific Approach ◽

Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

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Complex q-rung orthopair fuzzy Schweizer–Sklar Muirhead mean aggregation operators and their application in multi-criteria decision-making

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-202440 ◽

2021 ◽

pp. 1-23

Author(s):

Peide Liu ◽

Tahir Mahmood ◽

Zeeshan Ali

Keyword(s):

Decision Making ◽

Comparative Analysis ◽

Imaginary Part ◽

Fuzzy Set ◽

Score Function ◽

Aggregation Operators ◽

Unit Interval ◽

Multi Criteria Decision Making ◽

Accuracy Function ◽

Special Cases

Complex q-rung orthopair fuzzy set (CQROFS) is a proficient technique to describe awkward and complicated information by the truth and falsity grades with a condition that the sum of the q-powers of the real part and imaginary part is in unit interval. Further, Schweizer–Sklar (SS) operations are more flexible to aggregate the information, and the Muirhead mean (MM) operator can examine the interrelationships among the attributes, and it is more proficient and more generalized than many aggregation operators to cope with awkward and inconsistence information in realistic decision issues. The objectives of this manuscript are to explore the SS operators based on CQROFS and to study their score function, accuracy function, and their relationships. Further, based on these operators, some MM operators based on PFS, called complex q-rung orthopair fuzzy MM (CQROFMM) operator, complex q-rung orthopair fuzzy weighted MM (CQROFWMM) operator, and their special cases are presented. Additionally, the multi-criteria decision making (MCDM) approach is developed by using the explored operators based on CQROFS. Finally, the advantages and comparative analysis are also discussed.

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