Ranking and selection of commercial off-the-shelf using fuzzy distance based approach

Garg, Rakesh; Sharma, Ruchi; Sharma, Kapil

doi:10.5267/j.dsl.2015.12.004

Cited by 32 publications

(14 citation statements)

References 22 publications

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“…It may be untoward or improper for DMs to choose optimal or receivable alternatives. The weighted distance‐based approximation (WDBA), first proposed by Rao and Singh, is a befitting algorithm to process the information in a rational and resultful way …”

Section: Introductionmentioning

confidence: 99%

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Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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With the intensification of global warming trends, the frequent occurrence of natural disasters has brought severe challenges to the sustainable development of society. Emergency decision‐making (EDM) in natural disasters is playing an increasingly important role in improving disaster response capacity. In the case of EDM evaluation, the essential problem arises serious incompleteness, impreciseness, subjectivity, and incertitude. The q‐rung orthopair fuzzy set (q‐ROFS), disposing the indeterminacy portrayed by membership and nonmembership with the sum of qth power of them, is a more viable and effective means to seize indeterminacy. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the failure problems when comparing two q‐ROFNs. Firstly, we introduce some basic set operations for q‐ROFS. The properties of these operations are also discussed in detail. Later, we propose a q‐rung orthopair fuzzy decision‐making method based on weighted distance‐based approximation (WDBA), in which the weights of decision‐makers are obtained from a nonliner optimization model according to the deviation‐based method. Finally, some examples are investigated to illustrate the feasibility and validity of the proposed approach. The salient features of the proposed method, compared to the existing q‐rung orthopair fuzzy decision‐making methods, are as follows: (a) it can obtain the optimal alternative without counterintuitive phenomena and (b) it has a great power in distinguishing the optimal alternative.

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Section: Introductionmentioning

confidence: 99%

“…information in a rational and resultful way. [43][44][45][46] Hence, the first motivation of this paper is to deal the MADM issues by proposing new decision-making algorithm out of two drawbacks. 2.…”

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confidence: 99%

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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“…This paper used AHP method as the simplest technique of ranking. However, during the past few years, there have been other competitive techniques which can be used for ranking alternatives such as weighted distance-based approximation (WDBA) and distance-based approximation (DBA) method [62][63][64], Euclidean Distance Based Approximation (EDBA) [65], Multi-Criteria Decision Making (MCDM) and fuzzy set theory (FST) [66][67][68], Visekriterijumsko Kompromisno Rangiranje (VIKOR) MCDM method [69], Fuzzy Set Theory and Weighted Distance Based Approximation [70], Fuzzy-TOPSIS (F-TOPSIS) and TOPSIS method [71,72], Fuzzy Distance Based Approach (FDBA)' method [73], fuzzy-based matrix methodology [74], Fuzzy Complex Proportional Assessment (COPRAS) [75], Fuzzy Analytical Hierarchy Process (FAHP), COPRAS, VIKOR, WDBA [76], Hybrid MCDM methods [77] and fuzzy ELECTRE approach [78]. Table 1.…”

Section: Critical Success Factors Determination While Assessing the Nmentioning

confidence: 99%

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

2019

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Technology valuation, especially in the early stages of new technology-based firms (NTBFs) growth is one of the most critical challenges, which most often hinders the investor and entrepreneur's deals during the venture capital (VC) financing process. It is clear that uncertainties arising from the likelihood of implementing public policies could significantly affect the volatility of NTBFs cash flows in the field of cleaner production. Commonly, these kinds of technologies require public supportive policies for achieving success. Consequently, their technology valuation is more challenging and traditional valuation methods are not suitable anymore because of the definitive assumption of cash flow and ignoring the investors' flexibilities and uncertainties. Therefore, this paper proposes a method by introducing a framework based on the decision tree and the real options analysis which is tailored to meet the technology valuation of such firms during all stages of their growth. Furthermore, unlike previous papers that have utilized the compound options, option to choose has been used to apply investors' flexibilities. Then, the proposed framework is supported by a case study, which has been conducted to verify and validate it. Finally, the conclusion section discusses the contributions and limitations of the study and provides directions for future research.

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“…The alternative having the least value of SI is ranked at first position and with the maximum value at last. WDBA approach has already been applied in many fields such as Elearning websites selection (Garg & Jain, 2017;Jain, Garg, Bansal, & Saini, 2016), COTS component selection (Garg, Sharma, & Sharma, 2016), selection of software effort estimation (Bansal, Kumar, & Garg, 2017).…”

Section: Introductionmentioning

confidence: 99%

Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure

Peng

Garg

2018

Computers & Industrial Engineering

169

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A B S T R A C TThis paper aims to give deeper insights into decision making problem based on interval-valued fuzzy soft set (IVFSS). Firstly, a new score function for interval-valued fuzzy number is proposed for tackling the comparison problem. Subsequently, the formulae of information measures (distance measure, similarity measure and entropy) are introduced and their transformation relations are pioneered. Then, the objective weights of various parameters are determined via new entropy method, meanwhile, we develop the combined weights, which can show both the subjective information and the objective information. Moreover, we propose three algorithms to solve interval-valued fuzzy soft decision making problem by Weighted Distance Based Approximation (WDBA), COmbinative Distance-based ASsessment (CODAS) and similarity measure. Finally, the effectiveness and feasibility of approaches are demonstrated by a mine emergency decision making problem. The salient features of the proposed methods, compared to the existing interval-valued fuzzy soft decision making methods, are (1) it can obtain the optimal alternative without counterintuitive phenomena; (2) it has a great power in distinguishing the optimal alternative; and (3) it can avoid the parameter selection problems.

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Ranking and selection of commercial off-the-shelf using fuzzy distance based approach

Cited by 32 publications

References 22 publications

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure

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