A Mixed-Choice-Strategy-Based Consensus Ranking Method for Multiple Criteria Decision Analysis Involving Pythagorean Fuzzy Information

Chen, Ting‐Yu

doi:10.1109/access.2018.2884895

Cited by 13 publications

(5 citation statements)

References 46 publications

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“…The MUL-TIMOORA method with interval fuzzy numbers for solving the material selection problem of power gear was developed by Hafezalkotob et al [39]. Çebi and Otay [40] developed two-stage fuzzy approach in which suppliers selection should be made by using the fuzzy MULTIMOORA method and fuzzy goal programming approach was utilized to allocate the order for selected suppliers [41]. Gou et al [42] introduced the concept of dual hierarchy linguistic term set and utilized it to develop the dual hierarchy hesitant fuzzy linguistic term sets [43].…”

Section: General Review Of Literaturementioning

confidence: 99%

A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach

2019

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Waste produced from medical facilities systems incorporates a blend of dangerous waste which can posture dangers to humans and ecological receptors. Lacking administration of healthcare waste can prompt hazard to medicinal service specialists, patients, public health, communities and the wider environment. Hence, proper management of healthcare waste is imperative to reduce the associated health and environment risk. In this paper, we extend the MULTIMOORA decision making method with intuitionistic hesitant fuzzy set to evaluate the healthcare waste treatment methods. Intuitionistic hesitant fuzzy set is a generalized form of a hesitant fuzzy set. Intuitionistic hesitant fuzzy set considers the uncertainty of data in a single framework and take more information into account. The MULTIMOORA method consists of three parts namely the ratio system, reference point approach and the full multiplicative form. In the optimal ranking methods, the IHF-MULTIMOORA method is uncomplicated it is able to be used practically with high dimension intuitionistic hesitant fuzzy sets. For pathological, pharmaceutical, sharp, solid and chemical wastes, the preferred waste disposal methods are deep burial, incineration, autoclave, deep burial, and chemical disinfection, respectively.

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Section: General Review Of Literaturementioning

confidence: 99%

A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach

2019

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“…A method to support decision-makers who are faced with numerous and contradictory evaluations in order to highlight the conflicts in alternatives and reach a compromise (NASA, 2007). MCDA is focused almost solely on criterion-specific selection actions, where all alternatives are decomposed into distinct components and evaluated on the specific criteria (Chen, 2018). This analysis concerns the selection of criteria, the determination of the weights of the criteria, the normalization of criteria scores, and the combination of normalized criteria scores (Jiang, 2019).…”

Section: Multiple Criteria Decision Analysis (Mcda)mentioning

confidence: 99%

Automated trade study analysis based on dynamic requirements verification in the model‐based system engineering

Bankauskaite

Strolia

Morkevičius

2021

INCOSE International Symp

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In this complex world, where evolving systems communicate independently to achieve a common goal, the ability for an engineer to develop systems with traceability to requirements, using one integrated architecture model that enables all types of automated analysis (e.g., impact analysis, gap analysis, trade study analysis, and simulation) is becoming more and more vital. Today, the core enabler for automated analysis is the application of model‐based systems engineering practices. Model‐based systems engineering is used to capture system or systems of systems architecture as descriptive and analytical system models, which relate text‐based requirements to the architecture and provide an infrastructure to support trade study analysis. One of the core techniques to perform such analysis is requirements verification. This paper proposes an approach for an automated trade study analysis based on dynamic requirements verification in the model‐based systems engineering environment, with a goal to support trade of analysis both in the system of systems and systems engineering domains.

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“…Thao and Smarandache [62] utilized a concept of probability to define the PFSs' fuzzy entropy as an extension of the fuzzy entropy of IFSs. Chen [63] defined a consensus ranking method that used a mixed choice strategy for MCDA under a complex uncertainty that was based on PFSs. Teng et al [64] developed some power MSM-fused operators for Pythagorean fuzzy linguistic information, including a fuzzy linguistic power MSM operator and Pythagorean fuzzy linguistic power-weighted MSM (PFLPWMSM) operator.…”

Section: Literature Reviewmentioning

confidence: 99%

Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method

Wei

et al. 2020

IJERPH

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The aging trend of China’s population is increasing, and the pension problem is becoming increasingly prominent. The pension mode provided by the government alone can no longer meet the social demand, and the government’s purchase of home-based care services from social organizations has become a new trend. In order to improve the efficiency and quality of pension services, a reasonable performance evaluation model needs to be established. Performance evaluations of home-based elderly-care services purchased by the government are problematic as a result of multiple-attribute group decision-making (MAGDM), as the problems are not single-attribute or single-expert issues. The extended TODIM not only integrates the advantages of cumulative prospect theory (CPT) into a consideration of the psychological factors of DMs, but also retains the superiority of the classical TODIM in relative dominance. The Pythagorean 2-tuple linguistic sets (P2TLSs) could easily depict qualitative assessment information related to the government’s purchase of home-based care services. Thus, in this paper, we extend the TODIM method based on the cumulative prospect theory (CPT) to the Pythagorean 2-tuple linguistic sets (P2TLSs) and propose a Pythagorean 2-tuple linguistic CPT-TODIM (P2TL-CPT-TODIM) method for MAGDM. The P2TL-CPT-TODIM method was proven superior to the classical one through a case study that included a performance evaluation of a home-based elderly-care service purchased by the government. Meanwhile, a comparison with the P2TL-CPT-TODIM method was performed to demonstrate the stability and effectiveness of the designed method.

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A Mixed-Choice-Strategy-Based Consensus Ranking Method for Multiple Criteria Decision Analysis Involving Pythagorean Fuzzy Information

Cited by 13 publications

References 46 publications

A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach

A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach

Automated trade study analysis based on dynamic requirements verification in the model‐based system engineering

Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method

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