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Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance measure-RANCOM-WISP method

Scientific reports, 2024-02, Vol.14 (1), p.4706-4706 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-54929-6 ;PMID: 38409321

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  • Title:
    Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance measure-RANCOM-WISP method
  • Author: Rani, Pratibha ; Mishra, Arunodaya Raj ; Cavallaro, Fausto ; Alrasheedi, Adel Fahad
  • Subjects: Comparative analysis ; Decision making ; Distance measure ; Fuzzy sets ; Interval-valued intuitionistic fuzzy set ; Location selection ; Offshore ; Offshore wind power station ; Power plants ; RANCOM ; Site selection ; Wind power ; WISP
  • Is Part Of: Scientific reports, 2024-02, Vol.14 (1), p.4706-4706
  • Description: The development opportunities and high-performance capacity of offshore wind energy project depends on the selection of the suitable offshore wind power station (OWPS) location. The present study aims to introduce a decision-making model for assessing the locations for OWPS from multiple criteria and uncertainty perspectives. In this regard, the concept of interval-valued intuitionistic fuzzy set (IVIFS) is utilized to express uncertain information. To quantify the degree of difference between IVIFSs, an improved distance measure is proposed and further utilized for deriving the objective weights of criteria. Numerical examples are discussed to illustrate the usefulness of introduced IVIF-distance measure. The RANking COMparison (RANCOM) based on interval-valued intuitionistic fuzzy information is presented to determine the subjective weights of criteria. With the combination of objective and subjective weights of criteria, an integrated weighting tool is presented to find the numeric weights of criteria under IVIFS environment. Further, a hybrid interval-valued intuitionistic fuzzy Weighted integrated Sum Product (WISP) approach is developed to prioritize the OWPS locations from multiple criteria and uncertainty perspectives. This approach combines the benefits of two normalization tools and four utility measures, which approves the effect of beneficial and non-beneficial criteria by means of weighted sum and weighted product measures. Further, the developed approach is applied to the OWPS location selection problem of Gujarat, India. Sensitivity and comparative analyses are presented to confirm the robustness and stability of the present WISP approach. This study provides an innovative decision analysis framework, which makes a significant contribution to the OWPS locations assessment problem under uncertain environment.
  • Publisher: England: Nature Publishing Group
  • Language: English
  • Identifier: EISSN: 2045-2322
    DOI: 10.1038/s41598-024-54929-6
    PMID: 38409321
  • Source: PubMed Central
    Coronavirus Research Database
    ProQuest Central
    DOAJ Directory of Open Access Journals
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