Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

Saha, Abhijit; Pamučar, Dragan; Görçün, Ömer Faruk; Mishra, Arunodaya Raj

doi:10.1016/j.eswa.2022.118497

Cited by 56 publications

(12 citation statements)

References 127 publications

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“…In further research, other aggregation operators (Saha et al, 2022a;Saha et al, 2021a;Senapati, 2021;Senapati et al, 2022;Saha et al, 2022b;Saha et al, 2021b) can also be extended to tackle the dependency among attributes with qRPDHF information and the proposed weight determination technique. Our model can be used to provide a realistic solution to well-known problems, such as sustainable supplier selection (Mishra et al, 2022a), warehouse site selection (Saha et al, 2023), bio-energy production technology selection (Hezam et al, 2023), solid waste disposal method selection (Mishra et al, 2022b), renewable energy source…”

Section: Discussionmentioning

confidence: 99%

Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant fuzzy environment

Anusha

Ramana

Sarkar³

2023

Decis. Mak. Appl. Manag. Eng.

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The q-rung probabilistic dual hesitant fuzzy sets (qRPDHFSs), which outperform dual hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets, and probabilistic dual hesitant Pythagorean fuzzy sets, are used in this research to develop an interactive group decision-making approach. We first suggest the Archimedean Copula-based operations on q-rung probabilistic dual hesitant fuzzy (qRPDHF) components and investigate their key features before constructing the approach. We then create some new aggregation operators (AOs) in light of these operations, including the qRPDHF generalized Maclaurin symmetric mean (MSM) operator, qRPDHF geometric generalized MSM operator, qRPDHF weighted generalized MSM operator, and qRPDHF weighted generalized geometric generalized MSM operator. These aggregation operators are better than current operators on qRPDHF because they can take into account the interactions between a large number of criteria and probability distributions. The evaluation findings are distorted since the present methodologies do not take expert involvement into account in order to achieve the required consistency level. We employ the idea of interaction, consistency, resemblance, and consensus-building among the decision-makers in our method to get around this. We create an optimization model based on the cross-entropy of the qRPDHF components to estimate the weights of the criterion. We provide contextual research on the choice of open-source software LMS in order to demonstrate the relevance of the recommended AOs. Likewise, we ran a sensitivity test on the weights of the criterion to make sure that our model is consistent. The comparison investigation has demonstrated that the suggested approach can overcome the challenges of previous works.

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Section: Discussionmentioning

confidence: 99%

Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant fuzzy environment

Anusha

Ramana

Sarkar³

2023

Decis. Mak. Appl. Manag. Eng.

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“…As potential future research directions, a combination of subjective and objective weights for expert weight determination can be utilized, taking into assessments expert similarity (Saha et al, 2021a(Saha et al, , 2021b. To enhance the significance of the model, incorporating measures such as dispersion, uncertainty, and cross-entropy can be explored (Saha et al, 2023a(Saha et al, , 2023b. The developed consensus approach can also be integrated with MULTIMOORA, MARCOS, DNMA, COPRAS, and VIKOR methodologies to develop novel techniques.…”

Section: Discussionmentioning

confidence: 99%

“…The term "most significant criterion" is used to denote a criterion with the highest weight value. Saha et al (2021aSaha et al ( , 2023a used Eq. ( 12) to calculate the weight ratio.…”

Section: A Sensitivity Analysis Of Criteria Weightsmentioning

confidence: 99%

An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems

Deb,

Bhattacharya,

Chatterjee

et al. 2023

Informatica

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Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on several criteria like usability, functionality, e-learning standards, reliability, activity tracking, course development, assessment, backup and recovery, error reporting, efficiency, operating system compatibility, computer-managed instruction, authentication, authorization, troubleshooting, maintenance, upgrading, and scalability. Handling uncertain data is a vital aspect of OSS-LMS package evaluation. To tackle MCGDM issues, this study presents a consensus weighted sum product (c-WASPAS) method which is applied to an educational OSS-LMS package selection problem to evaluate four OSS-LMS packages, namely ATutor, eFront, Moodle, and Sakai. The findings indicate that the priority order of alternatives is Moodle > Sakai > eFront > ATutor and, therefore, MOODLE is the best OSS-LMS package for the case study. A sensitivity analysis of criteria weights is also conducted, as well as a comparative study, to demonstrate the effectiveness of the proposed method. It is essential to note that proper OSS-LMS package evaluation is crucial to avoid negative impacts on organizational performance. By addressing MCGDM issues and dealing with uncertain information, the c-WASPAS method presented in this study can assist clients in selecting the most appropriate OSS-LMS package from multiple alternatives. The findings of this study can benefit educational institutions and other organizations that rely on OSS-LMS packages to run their operations.

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“…Hosseini Dehshiri & Firoozabadi (2023) used the MARCOS method for a new multi-criteria decision-making approach based on wins in the league to prevent rank reversal. Saha et al (2023) used the MARCOS method to choose a warehouse location for the automotive industry. Furthermore, (Torkayesh et al 2021) developed the grey MARCOS method to select landfill locations for healthcare waste in urban areas.…”

Section: Grey Measurment According To Compromise Solutionmentioning

confidence: 99%

Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method

Bitarafan

Hosseini

Zolfani

2023

Decis. Mak. Appl. Manag. Eng.

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Identifying and evaluating any threat against the critical infrastructures, including history, methods, abilities, and motivations, is essential for crisis management and cities' passive defense. Threats, including natural and unnatural (man-made), are directed at cities' critical assets and infrastructures. Essential assets are considered valuable components, so the slightest malfunction or damage to the body causes damage to the system. This study uses Tehran, the capital of Iran, as a case study to identify and assess man-made dangers to cities and their vital resources. This work creates an innovative integrated MCDM approach that can handle information ambiguity in crisis management. Therefore, at this stage of identifying man-made threats, library methods and interviews with experts were used, and multi-criteria decision-making techniques were implemented. Moreover, this research benefits from the grey Best-Worst method (BWM) to evaluate the research criteria and grey Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) to rank the threats. The research findings indicated that the three main threats to Tehran city are cyber, military, and terrorist attacks. Finally, a sensitivity analysis based on two practical experiments is done, and research results are verified.

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Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

Cited by 56 publications

References 127 publications

Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant fuzzy environment

Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant fuzzy environment

An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems

Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method

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