Analysis of the Final Ranking Decisions Made by Experts After a Consensus has Been Reached in Group Decision Making

Triantaphyllou, Evangelos; Hou, Fujun; Yanase, Juri

doi:10.1007/s10726-020-09655-5

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…As a remark for further research, the comparison of the introduced model's outcomes with the results of other possible group consensus creation methods including Multi-actor, Multi-criteria Analysis, MAMCA (Macharis and Bernardini, 2015), Bayesian approach (Gargallo et al, 2007) or preference maps (Triantaphyllou et al, 2020) can be suggested. It would also be interesting to apply rank correlation methods e.g.…”

Section: Discussionmentioning

confidence: 99%

“…In case of multiple evaluator groups, gaining a consensual final priority of the alternatives or criteria is another dominant field in MCDM and this problem has made a severe impact on many AHP models (Bozóki et al, 2016;Ossadnik et al, 2016;Triantaphyllou et al, 2020). The hesitant approach is capable of dealing also with this problem by applying the hesitancy not only for individuals but also for stakeholder groups, consequently the consensus could be gained.…”

Section: Introductionmentioning

confidence: 99%

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Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

Duleba¹,

Gündoğdu²,

Moslem³

2021

Informatica

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Consensus creation is a complex challenge in decision making for conflicting or quasiconflicting evaluator groups. The problem is even more difficult to solve, if one or more respondents are non-expert and provide uncertain or hesitant responses in a survey. This paper presents a methodological approach, the Interval-valued Spherical Fuzzy Analytic Hierarchy Process, with the objective to handle both types of problems simultaneously; considering hesitant scoring and synthesizing different stakeholder group opinions by a mathematical procedure. Interval-valued spherical fuzzy sets are superior to the other extensions with a more flexible characterization of membership function. Interval-valued spherical fuzzy sets are employed for incorporating decision makers' judgements about the membership functions of a fuzzy set into the model with an interval instead of a single point. In the paper, Interval-valued spherical fuzzy AHP method has been applied to public transportation problem. Public transport development is an appropriate case study to introduce the new model and analyse the results due to the involvement of three classically conflicting stakeholder groups: passengers, non-passenger citizens and the representatives of the local municipality. Data from a real-world survey conducted recently in the Turkish big city, Mersin, help in understanding the new concept. As comparison, all likenesses and differences of the outputs have been pointed out in the reflection with the picture fuzzy AHP computation of the same data. The results are demonstrated and analysed in detail and the step-by-step description of the procedure might foment other applications of the model.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

Duleba¹,

Gündoğdu²,

Moslem³

2021

Informatica

View full text Add to dashboard Cite

show abstract

“…Cook et al [ 15 ]proposed the Borda-Kendall method to measure consensus for ranking alternatives, however, distance-based approaches sometimes fail to properly reflect consensus in group decision-making. Meanwhile, Huo et al [ 23 ]put forward a premetric-based concept to express the various opinions of experts, identify the differences among these expert opinions when ranking the alternatives, negotiate and adjust the preferences of experts with the largest differences, and finally obtain the ranking of the alternatives with the smallest differences to make up for the deficiency of the distance-based identification method. Later, Hou’s subsequent paper followed a post-consensus analysis of the methodology to facilitate new insights into the alternatives [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

“…Against this backdrop, this paper studies how the expert group selects suitable alternatives for this epidemic according to the existing epidemic prevention schemes. Then, according to the method proposed by Huo et al [ 6 , 14 , 23 ], the solution that the expert group considers most to meet the needs of the local epidemic should be selected. The contributions of this article are as follows: First of all, this paper proposes a preference-based group decision-making method, which includes experts negotiating and modifying links for the largest disputes, which not only speeds up the decision-making speed of experts on epidemic prevention and control, but also improves the application rate of the final prevention and control plan.…”

Section: Introductionmentioning

confidence: 99%

The selection of COVID-19 epidemic prevention and control programs based on group decision-making

Cui

Wang

2022

Complex Intell. Syst.

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COVID-19 has been wreaking havoc on the world for close to two years. As the virus continues to mutate, epidemic prevention and control has become a long and experienced war. In the face of the sudden spread of virus strains, how to quickly and effectively formulate prevention and control plans are essential to ensuring the safety and social stability of cities. This paper is based on the characteristics, namely, its persistence and the high transmissibility of mutated strains, as well as the database of epidemic prevention and control plans formed as part of the existing prevention and control measures. Then, epidemic prevention experts select effective alternatives from the program database and rank their preferences through the preliminary analysis of the local epidemic situation. The process of the integration scheme aims to minimize the differences in an effort to maximize the needs of the local epidemic. Once the consensus ranking of the scheme is obtained, the final prevention and control scheme can be determined. The proposed method of this paper can optimize the opinions of the epidemic prevention expert group and form a consensus decision, whilst also saving time by carrying out the work effectively, which is of certain practical significance to the prevention and control effect of local outbreaks.

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The Selection of COVID-19 Epidemic Prevention and Control Programs Based on Group Decision Making

Cui

Wang

2021

Combinatorial Optimization and Applications

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Analysis of the Final Ranking Decisions Made by Experts After a Consensus has Been Reached in Group Decision Making

Cited by 13 publications

References 26 publications

Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

The selection of COVID-19 epidemic prevention and control programs based on group decision-making

The Selection of COVID-19 Epidemic Prevention and Control Programs Based on Group Decision Making

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