In this paper, we use parametric form of fuzzy number and we converta fuzzy linear system to two linear system in crisp case. Conditions for the existence of a minimal solution to $mtimes n$ fuzzy linear equation systems are derived and a numerical procedure for calculating the minimal solution is designed. Numerical examples are presented to illustrate the proposed method.

We study congruences on words in order to characterize the class of visibly pushdown languages (VPL), a subclass of context-free languages. For any language L, we define a natural congruence on words that resembles the syntactic congruence for regular languages such that this congruence is of finite index if, and only if, L is a VPL. We then study the problem of finding canonical minimal determ...

We analyze the properties of probabilistic reversible decide-and-halt automata (DHPRA) and show that there is a strong relationship between DH-PRA and 1-way quantum automata. We show that a general class of regular languages is not recognizable by DHPRA by proving that two ‘‘forbidden’’ constructions in minimal deterministic automata correspond to languages not recognizable by DH-PRA. The shown...

In this paper we investigate the propositional logic of standard algebras for Hájek’s Basic Fuzzy Logic BL in a language expanded with propositional constants for the idempotent elements delimiting the L-, G-, and Π-components of the algebra. We start from a fixed standard BL-algebra; introduce new propositional constants; present a suitable set of axioms; investigate completeness results; and ...

This paper presents a tableau calculus for finding a model for a set-satisfiable finite set of formulas of a fuzzy logic BL△∼, a fuzzy logic BL with additional Baaz connective △ and the involutive negation ∼, if such a model exists. The calculus is a generalisation of a tableau calculus for BL, which is based on the decomposition theorem for a continuous t-norm. The aforementioned tableau calcu...

This work focuses on adapting artificial intelligence techniques for urban growth modeling using multitemporal imagery. Fuzzy set theory and cellular automata are used for this purpose. Fuzzy set theory preserves the spatial continuity of the growth process through allowing a test pixel to be partially developed unlike the binary crisp system (developed/undeveloped). The development level ident...