Increasing continuous operations in fuzzy max-⁎ equations and inequalities

In this paper, solutions of fuzzy systems of equations A○x=b and systems of inequalities A○x≥b, A○x≤b are considered, where A∈[0,1]m×n, b∈[0,1]m, ○ stands for max-⁎ product and x∈[0,1]n is an unknown vector. In this paper the families of all solutions are described. During the last thirty years this problem was considered by many authors. Our goal is to achieve the most general assumptions for which sets of solutions' systems of equations and inequalities are the union of lattice intervals. Especially, a method of determination of all minimal solutions in such systems is indicated. As a result, the families of all solutions of fuzzy systems of inequalities A○x≤b and A○x≥b are described. As the main part of these results, the method of determination of the family of all minimal solutions in max-⁎ system of equations with an increasing operation ⁎, continuous on the second argument is presented.

[1]  Spyros G. Tzafestas,et al.  Resolution of composite fuzzy relation equations based on Archimedean triangular norms , 2001, Fuzzy Sets Syst..

[2]  D. Grant Fisher,et al.  Solution algorithms for fuzzy relational equations with max-product composition , 1998, Fuzzy Sets Syst..

[3]  Bobby Schmidt,et al.  Fuzzy math , 2001 .

[4]  Michal Baczynski,et al.  Fuzzy Implications , 2008, Studies in Fuzziness and Soft Computing.

[5]  Józef Drewniak,et al.  Fuzzy relation equations and inequalities , 1984 .

[6]  G. Klir,et al.  Resolution of finite fuzzy relation equations , 1984 .

[7]  Lotfi A. Zadeh,et al.  Similarity relations and fuzzy orderings , 1971, Inf. Sci..

[8]  Esmaile Khorram,et al.  An algorithm for solving fuzzy relation equations with max-T composition operator , 2008, Inf. Sci..

[9]  Elie Sanchez,et al.  Resolution of Composite Fuzzy Relation Equations , 1976, Inf. Control..

[10]  Bih-Sheue Shieh,et al.  Deriving minimal solutions for fuzzy relation equations with max-product composition , 2008, Inf. Sci..

[11]  Józef Drewniak,et al.  Fuzzy equations max - * with conditionally cancellative operations , 2012, Inf. Sci..

[12]  Marc Roubens,et al.  Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.

[13]  M. Miyakoshi,et al.  Solutions of composite fuzzy relational equations with triangular norms , 1985 .

[14]  Józef Drewniak,et al.  Properties of $$\text{max-}*$$ fuzzy relation equations , 2010, Soft Comput..

[15]  Hong-Xing Li,et al.  Resolution of finite fuzzy relation equations based on strong pseudo-t-norms , 2006, Appl. Math. Lett..

[16]  Amin Ghodousian,et al.  Solving a linear programming problem with the convex combination of the max-min and the max-average fuzzy relation equations , 2006, Appl. Math. Comput..

[17]  W. Pedrycz,et al.  Fuzzy relation equations on a finite set , 1982 .

[18]  Shu-Cherng Fang,et al.  A survey on fuzzy relational equations, part I: classification and solvability , 2009, Fuzzy Optim. Decis. Mak..

[19]  Masaaki Miyakoshi,et al.  Lower solutions of systems of fuzzy equations , 1986 .

[20]  Yandong Yu,et al.  Pseudo-t-norms and implication operators on a complete Brouwerian lattice , 2002, Fuzzy Sets Syst..

[21]  E. Czogala,et al.  Associative monotonic operations in fuzzy set theory , 1984 .

[22]  Józef Drewniak,et al.  Generalized Compositions of Fuzzy Relations , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[23]  Bih-Sheue Shieh,et al.  Solutions of fuzzy relation equations based on continuous t-norms , 2007, Inf. Sci..

[24]  Salvatore Sessa,et al.  On the set of solutions of composite fuzzy relation equations , 1983 .