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

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.