Author(s):
1. Muhammad Ihsan:
Department of Mathematics, University of Management and Technology, Lahore, Pakistan
2. Muhammad Saeed:
Department of Mathematics, University of Management and Technology, Lahore, Pakistan
3. Atiqe Ur Rahman:
Department of Mathematics, University of Management and Technology, Lahore, Pakistan
Abstract:
Soft set theory is considered as the preeminent tool to tackle the problems involving vagueness by controlling all complexities of optimization theory, fuzzy set theory and interval theory. Some models have been developed to solve problems in decision making and medical diagnosis with one expert by using this theory. This causes a problem with those who use questionnaires in their research. Soft expert set overcomes this problem and facilitates the user to know the opinion of all experts in one model. The concept of convexity plays a key role to deal optimization, pattern recognition-classification and many other related topics in operation research, numerical analysis and other disciplines of mathematical sciences. In this study, a mathematical cum abstract technique is employed to develop basic concept of convex and concave soft expert sets to deal with their important applications. Some classical results on convexity cum concavity are modified under uncertain multi-decisive environment with the support of explicatory proofs.
Page(s):
621-629
Published:
Journal: Punjab University Journal of Mathematics, Volume: 53, Issue: 9, Year: 2021
Keywords:
soft set
,
Soft expert set
,
Concave soft expert set
References:
References are not available for this document.
Citations
Citations are not available for this document.