An Intuitionistic Extension of the Simple WISP Method

Zavadskas, Edmundas Kazimieras; Stanujkić, Dragiša; Turskis, Zenonas; Karabašević, Darjan

doi:10.3390/e24020218

Cited by 13 publications

(4 citation statements)

References 56 publications

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“…As compared with TOPSIS, WASPAS, VIKOR, CoCoSo and MULTIMOORA, the WISP is one of the novel and valuable utility theory-based methods for prioritizing the alternatives in a more easy and usable way. However, the classical WISP [21] and intuitionistic fuzzy WISP [31] have limitations in using onefold normalization procedure, which would mislead the decision outcomes. To the best of authors' information, the classical WISP technique with double normalization procedure has not been considered for solving MCDM problems under q-ROFS context.…”

Section: B Motivationmentioning

confidence: 99%

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Deveci

Mishra

Gökaşar

et al. 2023

IEEE Trans. Fuzzy Syst.

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Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online.Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, firstly q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators (AOs) and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product (WISP) method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this study confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of applications.

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Section: B Motivationmentioning

confidence: 99%

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Deveci

Mishra

Gökaşar

et al. 2023

IEEE Trans. Fuzzy Syst.

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“…WISP method includes four utility measures for determining the total value of alternatives, forecasts the adoption of a much simpler normalization process, facilitates a much simpler ranking of them, is straightforward to implement and increases judgment dependability ( Stanujkic et al, 2021 ). As it is a new method, few studies have used WISP in the literature ( Stanujkić et al, 2021 ; Ulutaş et al, 2022 ; Zavadskas et al, 2022 ), and no study uses rough WISP.…”

Section: Introductionmentioning

confidence: 99%

A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection

Cao,

Jin,

Ulutaş

et al. 2024

PeerJ Computer Science

Self Cite

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Enterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multi-criteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT-4 coded software is regarded as the best option, followed by SFT-5, SFT-6, SFT-2, SFT-3, and SFT-1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed rough BWM and WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.

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“…Zhao et al [17] combined the cumulative prospect model with the "multi-attributive border approximation area comparison (MABAC)" model on IFSs. Zavadskas et al [18] planned a novel extension of the simple weighted sum product model under an intuitionistic fuzzy environment. Tripathi et al [19] designed a decision-making method, called IF-CoCoSo, using the combined compromise solution (CoCoSo) with parametric divergence measures on IFSs to deal with the medical MCDA problem.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Intuitionistic Fuzzy Entropy-SWARA-COPRAS Method for Multi-Criteria Sustainable Biomass Crop Type Selection

et al. 2023

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To select a biomass crop type of the highest sustainability for the purpose of producing biofuel is recognized as a problem of the multi-criteria decision analysis (MCDA) type, as it comprises different conflicting criteria. To effectively address this problem, the present paper introduces a novel integrated approach using the complex proportional assessment (COPRAS) method under the intuitionistic fuzzy sets (IFSs). The proposed approach works based on the IFSs operators as well as an innovative process utilized in evaluating the attributes’ weights. To evaluate these weights, the subjective weights using the step-wise weight assessment ratio analysis (SWARA) model are integrated with the objective weights achieved using an entropy-based approach in order to attain more realistic weights. As MCDA problems inevitably suffer from different degrees of uncertainty, the proposed approach could be of great help to those who are required to make decisions in uncertain settings. The paper took into consideration a sustainable biomass crop selection problem to exemplify the effectiveness of the presented approach in handling real MCDA problems. Moreover, a sensitivity analysis with respect to the diverse values of the attributes is presented in order to assess the stability of the introduced model. This study reveals that the combination of the objective and subjective weights enhances the stability of the introduced approach with diverse attribute weights. Finally, the results of the introduced model are compared to some existing intuitionistic fuzzy information-based methods. The findings of the comparison confirm the efficiency of the present approach in performing the defined tasks under uncertain environments.

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An Intuitionistic Extension of the Simple WISP Method

Cited by 13 publications

References 56 publications

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection

Hybrid Intuitionistic Fuzzy Entropy-SWARA-COPRAS Method for Multi-Criteria Sustainable Biomass Crop Type Selection

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