Prioritizing the refactoring need for critical component using combined approach

Sehgal, Rajni; Mehrotra, Deepti; Bala, Manju

doi:10.5267/j.dsl.2017.8.003

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…In this regard, the fuzzy set theory is very suitable and effective to handle the MCDA problems under vague, uncertain, and incomplete information environment. From this perspective, different versions of TOPSIS based on fuzzy sets have been developed for considering uncertainties and vagueness in MCDA problems, such as the fuzzy TOPSIS [14,15], the generalized fuzzy TOPSIS [1], the analytic network process weighted fuzzy TOPSIS [16], the intuitionistic fuzzy TOPSIS [7,9,17], the interval-valued intuitionistic fuzzy linguistic TOPSIS [18], the interval type-2 fuzzy TOPSIS [10,12], and so on. Although numerous papers with fuzzy sets have been proposed for developing extensions of TOPSIS and applied to different application areas, relatively little attention has been paid to the extended TOPSIS dealing with MCDA problems under complex uncertainty based on Pythagorean fuzzy (PF) sets.…”

Section: Id:p0090mentioning

confidence: 99%

A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation

Lin¹,

Ho²,

Yeh³

et al. 2018

IJCIS

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The complex nature of the realistic decision-making process requires the use of Pythagorean fuzzy (PF) sets which have been shown to be a highly promising tool capable of solving highly vague and imprecise problems. Multiple criteria decision analysis (MCDA) methods within the PF environment are very attractive approaches for today's intricate decision environments. With this study, an effective compromise model named as the PF technique for order preference by similarity to ideal solutions (TOP-SIS) is proposed based on some novel PF correlation-based concepts to overcome the complexities and ambiguities involved in real-life decision situations. In contrast to the existing distance-based definitions, this paper develops new closeness indices based on an extended concept of PF correlations. This paper employs the proposed PF correlation coefficients to construct two types of closeness measures. A comprehensive concept of PF correlation-based closeness indices can then be established to balance the consequences yielded by the two closeness measures. Based on these useful concepts, an effective PF TOPSIS method is proposed to address MCDA problems involving PF information and determine the ultimate priority orders among competing alternatives. Feasibility and practicability of the developed approach are illustrated by a medical decision-making problem of inpatient stroke rehabilitation. Finally, the proposed methodology is compared with other current methods to further explain its effectiveness.

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Section: Id:p0090mentioning

confidence: 99%

A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation

Lin¹,

Ho²,

Yeh³

et al. 2018

IJCIS

View full text Add to dashboard Cite

show abstract

“…Thus, the objective weight method is a better method for the mini-grid criteria weights determination. However, the combination of the subjective and objective weight methods showed that the average importance of the least and most important criteria are the same as that of the objective weight method (Sehgal et al, 2018).…”

Section: Tablementioning

confidence: 99%

Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets

Ighravwe¹,

Babatunde²

2018

10.5267/j.dsl

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The growth in renewable energy study has resulted in the expansion of mini-grids projects across different communities in developing countries. However, there is a need to ensure that a suitable business model is selected during the provision of mini-grid services in developing countries. This study presents a framework for ranking mini-grid business models. The proposed framework is a multi-criteria multi-decision (MCMD) making tool. The framework combines Criteria Importance Through Inter-criteria Correlation (CRITIC), TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) and WASPAS (weighted aggregated sum product assessment) methods. An interval type-2 fuzzy sets (IT2FSs) is used to convert the responses from decision-makers into crisp values. The applicability of the proposed framework was tested using Nigeria as a case study. Four potential mini-grid (private, government, community-based and public-private) business models for the case study were ranked using twelve criteria. The average values for the subjective and objective weight methods showed that electricity traffic and energy demand were the least and the most important criteria, respectively, for selecting a mini-grid business model. The results obtained showed that the best mini-grid model was a private model using a TOPSIS framework. A WASPAS framework ranked the community-based business model as the best model. This study results showed mini-grid business models in developing countries should be either private or community-based business models..

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Prioritizing Python Code Smells for Efficient Refactoring Using Multi-criteria Decision-Making Approach

Gupta

Sharma

Phulli

2021

Advances in Intelligent Systems and Computing

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Prioritizing the refactoring need for critical component using combined approach

Cited by 5 publications

References 29 publications

A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation

A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation

Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets

Prioritizing Python Code Smells for Efficient Refactoring Using Multi-criteria Decision-Making Approach

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