Application of Similarity Measure on m-polar Interval-valued Neutrosophic Set in Decision Making in Sports

Authors

  • Muhammad Saeed
  • Muhammad Saqlain
  • Asad Mehmood

Abstract

In real life, most of the problems occurred by wrong decision making, while in sports it is mandatory
for every player, coach, and technique director to make a good and an ideal decision. In this paper, the concept
of similarity measure is used in the neutrosophic environment for decision making in a football game for the
selection of players. The data is collected in interval-valued, while the new concept m-polar is illustrated as
previous records of m matches played by players. m-polar structures provide multiple data on the concerned
problem, so as a result the best solution can be developed for the selection problem. An m-polar Intervalvalued Neutrosophic Set (mIVNS) is derived for the targeted task of player selection problem. Then some
operations, properties, and distance measures are introduced on m-polar Interval-valued Neutrosophic Set
(mIVNS). Distance-base Similarity Measure is illustrated to each player with an ideal set in mIVNS structure.
In the end, the Algorithm is given for ideal decision-making in sports for the selection of players.

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Published

2020-12-03

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Muhammad Saeed, Muhammad Saqlain, & Asad Mehmood. (2020). Application of Similarity Measure on m-polar Interval-valued Neutrosophic Set in Decision Making in Sports. Neutrosophic Sets and Systems, 38, 317-334. https://fs.unm.edu/nss8/index.php/111/article/view/4192

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