List of Articles ‎Fuzzy similarity measures‎

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  1 - Similarity of Country Rankings on Sustainability Performance
  John Mordeson Sunil Mathew
  10.30495/tfss.2022.1963756.1042
  In this paper, we extend the fuzzy similarity measure of two rankings to any finite number of rankings. We provide a method to convert a measure for a finite number of rankings to a number that represents the number for two rankings. We apply our results to the sustaina More

  In this paper, we extend the fuzzy similarity measure of two rankings to any finite number of rankings. We provide a method to convert a measure for a finite number of rankings to a number that represents the number for two rankings. We apply our results to the sustainability ranking of countries by the Environmental Performance Index (EPI). The 2020 EPI provides a summary of the state of sustainability around the world. It uses 32 performance indicators across 11 categories. These indicators provide a way to determine problems, set targets, track trends, understand outcomes, and identify best policy practices. The EPI ranks 180 countries on environmental health and ecosystem vitality. The EPI provides a method in support of efforts to meet the targets of the UN Sustainable Development Goals. The EPI determined that the Global West region ranked the highest. The purpose of our project is to find the similarity of the 11 rankings of the countries for eight different regions. Manuscript profile
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  2 - Sustainable Development Goals and Homelessness
  John Mordeson Sunil Mathew Puzhikunnath Sujithra
  10.30495/tfss.2023.1973510.1056
  The United Nation’s Sustainable Development Goals encourage countries to solve many social problems. One of these problems is homelessness. We consider those goals which are most pertinent to homelessness according to [13]. We rank countries with respect to the achievem More

  The United Nation’s Sustainable Development Goals encourage countries to solve many social problems. One of these problems is homelessness. We consider those goals which are most pertinent to homelessness according to [13]. We rank countries with respect to the achievement of these goals. We use fuzzy similarity measures to determine the degree of similarity between these rankings. We use three methods to rank the counties, namely, the Analytic Hierarchy Process, the Guiasu method, and the Yen method. Overall scores of categories in some basic research papers pertaining to Sustainable Development Goals were obtained by using multiplication of the scores of the category’s targets. Multiplication was used to agree with the philosophy that in order for a high score to be obtained, all targets must have a high score. To support this philosophy in the decision process, we use the t-norms bounded difference, algebraic product, and standard intersection as experts. We also suggest a way the techniques used here can be extended to nonstandard analysis Manuscript profile
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  3 - ‎Fuzzy Implication Operators Applied to Country Health‎ ‎Preparation
  John Mordeson Sunil Mathew Aswathi Prabhath
  10.30495/TFSS.2024.1104698
  We use a new method to determine a fuzzy similarity measure using fuzzy implication operators‎. ‎We use this method to determine the fuzzy similarity between the two rankings of countries involving health security and health care‎. ‎We then find a fuzzy similarity of co More

  We use a new method to determine a fuzzy similarity measure using fuzzy implication operators‎. ‎We use this method to determine the fuzzy similarity between the two rankings of countries involving health security and health care‎. ‎We then find a fuzzy similarity of countries involving the two rankings of countries with respect to national disaster‎ ‎and political disaster‎. Manuscript profile