Application of Similarity Measure on m polar Interval valued Neutrosophic Set in Decision Making in Sports is popular PDF and ePub book, written by Muhammad Saeed in 2020-12-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Application of Similarity Measure on m polar Interval valued Neutrosophic Set in Decision Making in Sports can be Read Online from any device for your convenience.
Application of Similarity Measure on m polar Interval valued Neutrosophic Set in Decision Making in Sports Book PDF Summary
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 Interval-valued 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.
Detail Book of Application of Similarity Measure on m polar Interval valued Neutrosophic Set in Decision Making in Sports PDF
- Author : Muhammad Saeed
- Release : 01 December 2020
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 18 pages
- Language : English
- PDF File Size : 7,9 Mb
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