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An Application of Distance Measure Function of Fermatean Fuzzy Set in Urban Sustainable Development Appraisal
- Authors: Anita Kumari1, Deepak Kumar2, Umang3, Kapil Joshi4
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View Affiliations Hide AffiliationsAffiliations: 1 Department of Mathematics, D. S. B. Campus, Kumaun University, Nainital, Uttarakhand, India 2 Department of Mathematics, D. S. B. Campus, Kumaun University, Nainital, Uttarakhand, India 3 Department of Computer Application, D. S. B. Campus, Kumaun University, Nainital, Uttarakhand, India 4 Department of CSE, Uttaranchal Institute of Technology Uttaranchal University, Dehradun, India
- Source: Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI, Big Data, Blockchain, and Industry 4.0 Application , pp 283-295
- Publication Date: October 2024
- Language: English
An Application of Distance Measure Function of Fermatean Fuzzy Set in Urban Sustainable Development Appraisal, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815256680/chapter-20-1.gifDue to its quantitative capacity to differentiate Fermatean fuzzy sets (FFSs), distance measurement is a research hotspot in the Fermatean fuzzy set. For Fermatean fuzzy sets, we used cosine distance, a novel distance metric. In this study, measures of cosine similarity and cosine distance amongst FFSs are taken into account when trying to solve a multi-attribute decision-making problem based on sustainable development goals. In this study, we used the cosine distance measure for Fermatean fuzzy set theory to rank a set of urban cities according to many factors, including poverty, health, industrial development, and climate quality. Additionally, a suitable example is used to illustrate the superiority and logic of the present formulation.
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