New Approaches for Solving Fuzzy LR Linear Systems and a Class of Fuzzy Location Problems, Ph.D. Dissertation Sharif University of Technology ; Mahdavi Amiri, Nezamoddin (Supervisor)
Abstract
By increasing complexity of systems, soft computing including fuzzy computing, evolutionary computing and intelligent computing, have been developing in recent years. Here, we focus on two subjects making use of soft computing. Firstly, we study fuzzy LR linear systems.
We transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares model. We show that the fuzzy LR system has an exact solution if and only if the corresponding crisp system is compatible (has a solution) and the optimal value of the corresponding least squares problem is equal to zero. In this case, the exact solution is determined by the solutions of the two corresponding... Cataloging briefNew Approaches for Solving Fuzzy LR Linear Systems and a Class of Fuzzy Location Problems, Ph.D. Dissertation Sharif University of Technology ; Mahdavi Amiri, Nezamoddin (Supervisor)
Abstract
By increasing complexity of systems, soft computing including fuzzy computing, evolutionary computing and intelligent computing, have been developing in recent years. Here, we focus on two subjects making use of soft computing. Firstly, we study fuzzy LR linear systems.
We transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares model. We show that the fuzzy LR system has an exact solution if and only if the corresponding crisp system is compatible (has a solution) and the optimal value of the corresponding least squares problem is equal to zero. In this case, the exact solution is determined by the solutions of the two corresponding... Find in contentBookmark |
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