Best States for Women to Work and Women’s Peace and Secur
الموضوعات : Transactions on Fuzzy Sets and Systems
John Mordeson
1
,
Sunil Mathew
2
,
Davander Malik
3
1 - Department of Mathematics, Emeritus Professor of Mathematics, Creighton University, Omaha, Nebraska, USA.
2 - Department of Mathematics, Associate Professor of Mathematics, National Institute of Technology Calicut, Calicut, India.
3 - Department of Mathematics, Professor of Mathematics, Creighton University, Omaha, Nebraska, USA.
الکلمات المفتاحية: Women, Work, Peace and security, State rankings, Fuzzy similarity measures, Distance functions.,
ملخص المقالة :
In [1], states are ranked with respect to the best states to work. In [2], states are ranked with respect to the peace and security for women. We determine the fuzzy similarity measure of these to rankings. We find the similarity to be high for one of the measures and very high for the other. We then break the United States into regions and determine the fuzzy similarity measure of these two rankings for each region. The fuzzy similarity here is medium for one measure and high for the other. Similarity plays a role in many fields. There exists many special definitions of similarity which have been used in different areas. We choose to use fuzzy similarity measures which seem appropriate in rankings. In fact, we develop some new measures.
[1] State Scorecards. The Three Policy Areas: How the States Rank for Working Women. https://www.oxfamamerica.org/statesreport 2022. [Accessed 5th Octobber 2024].
[2] GIWPS Georgetown Institute for Women, Peace and Security. The Best and Worst States to Be a Woman, Introducing the U.S. Women, Peace, and Security Index 2020. https://giwps.georgetown.edu [Accessed 30th September 2024].
[3] OXFAM. Best and Worst states to Work in America. http://www.oxfamamerica.org/stateaction2023.org. [Accessed 4th October 2024].
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[5] Mordeson JN, Mathew S, Malik DS. Best states for women to work: Analysis using mathematics of uncertainty. Journal of Mahani Mathematical Research. to appear.
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