Systems with Negative Fuzzy Parameters
Purnima K. Pandit
Purnima Pandit, Department of Applied Mathematics, The MS University of Technology and Engineering, of Baroda, (Gujarat), India.
Manuscript received on 10 July 2013 | Revised Manuscript received on 18 July 2013 | Manuscript Published on 30 July 2013 | PP: 102-105 | Volume-3 Issue-2, July 2013 | Retrieval Number: B1034073213/13©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Various primitive Engineering and Sciences applications can be modeled using system of linear equations. In such models it can happen that the values of the parameters are not known or they cannot be stated precisely only their estimation due to experimental data or expert knowledge is available. In such situation it is convenient to represent such parameters by fuzzy numbers (refer ). The method and the conditions for obtaining the fuzzy solution for the systems with positive fuzzy parameters is given in . There are applications wherein the model involves even negative fuzzy parameters. In this paper, an algorithm for solving such fuzzy systems is proposed and illustrated.
Keywords: Negative Fuzzy Numbers, Α-Cut, Parallel Processing, Fully Fuzzy Systems.
Scope of the Article: Fuzzy Logics