exact and approximate solutions of fuzzy lr linear systems: new algorithms using a least squares model and the abs approach

Authors

reza ghanbari

nezam mahdavi-amiri

rohollah yousefpour

abstract

we present a methodology for characterization and an approach for computing the solutions of fuzzy linear systems with lr fuzzy variables. as solutions, notions of exact and approximate solutions are considered. we transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares problem. if the corresponding crisp system is incompatible, then the fuzzy lr system lacks exact solutions. 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 solution 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 problems. on the other hand, if the corresponding crisp system is compatible and the optimal value of the corresponding constrained least squares problem is nonzero, then we characterize approximate solutions of the fuzzy system by solution of the least squares problem. also, we characterize solutions by defining an appropriate membership function so that an exact solution is a fuzzy lr vector having the membership function value equal to one and, when an exact solution does not exist, an approximate solution is a fuzzy lr vector with a maximal membership function value. we propose a class of algorithms based on abs algorithm for solving the lr fuzzy systems. the proposed algorithms can also be used to solve the extended dual fuzzy linear systems. finally, we show that, when the system has more than one solution, the proposed algorithms are flexible enough to compute special solutions of interest. several examples are worked out to demonstrate the various possible scenarios for the solutions of fuzzy lr linear systems.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Exact and approximate solutions of fuzzy LR linear systems: New algorithms using a least squares model and the ABS approach

We present a methodology for characterization and an approach for computing the solutions of fuzzy linear systems with LR fuzzy variables. As solutions, notions of exact and approximate solutions are considered. We transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares problem. If the corresponding crisp system is incompatible, then the fuzzy ...

full text

NEW MODELS AND ALGORITHMS FOR SOLUTIONS OF SINGLE-SIGNED FULLY FUZZY LR LINEAR SYSTEMS

We present a model and propose an approach to compute an approximate solution of Fully Fuzzy Linear System $(FFLS)$ of equations in which all the components of the coefficient matrix are either nonnegative or nonpositive. First, in discussing an $FFLS$ with a nonnegative coefficient matrix, we consider an equivalent $FFLS$ by using an appropriate permutation to simplify fuzzy multiplications. T...

full text

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

15 صفحه اول

new models and algorithms for solutions of single-signed fully fuzzy lr linear systems

we present a model and propose an approach to compute an approximate solution of fully fuzzy linear system $(ffls)$ of equations in which all the components of the coefficient matrix are either nonnegative or nonpositive. first, in discussing an $ffls$ with a nonnegative coefficient matrix, we consider an equivalent $ffls$ by using an appropriate permutation to simplify fuzzy multiplications. t...

full text

Least squares solutions of linear inequality systems: a pedestrian approach

With the help of elementary results and techniques from Real Analysis and Optimization at the undergraduate level, we study least squares solutions of linear inequality systems. We prove existence of solutions in various ways, provide a characterization of solutions in terms of nonlinear systems, and illustrate the applicability of results as a mathematical tool for checking the consistency of ...

full text

My Resources

Save resource for easier access later


Journal title:
iranian journal of fuzzy systems

Publisher: university of sistan and baluchestan

ISSN 1735-0654

volume 7

issue 2 2010

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023