In this paper, existence and uniqueness of solution to two-point boundary value for two-sided fractional differential equations involving Caputo fractional derivative is discussed, by means of the Min-Max Theorem.

In this paper, we propose, simulated and modelled, first time, a novel fuzzy inference processor capable of handling three types of membership functions together. To implement the proposed inference processor, a novel multi membership function (MMF) MAX-MIN calculator circuit, calculating the matching degree (MD) between three types of membership functions (MF): Gaussian, Trapezoid and Triangul...

There are two kinds of bisimulation, namely crisp and fuzzy, between fuzzy structures such as automata, labeled transition systems, Kripke models interpretations in description logics. Fuzzy bisimulations automata over a complete residuated lattice have been introduced by ?iri? et al. 2012. Logical characterizations (respectively, logics) the [0,1] with Gödel t-norm provided Fan 2015 Nguyen 202...

In this paper, ‎The powers of fuzzy neutrosophic soft square matrices (FNSSMs) under the operations $oplus(=max)$ and $otimes(=min)$ are studied‎. ‎We show that the powers of a given FNSM stabilize if and only if its orbits stabilize for each starting fuzzy neutrosophic soft vector (FNSV) and prove a necessary and sufficient condition for this property using the associated graphs of the FNSM‎. ...

A new technique named as Intuitionistic fuzzy max-min average composition method is proposed to study the Medical Diagnosis. In Sanchez's approach for decision making is studied and the concept is generalized by the application of IFS theory. Through a survey the relations between the symptoms and diseases are discussed. The proposed method is compared with max-min composition method.

In this paper, we de ne the concepts of general fuzzy recognizer, language recognized by a general fuzzy recognizer, the accessible and the coac- cessible parts of a general fuzzy recognizer and the reversal of a general fuzzy recognizer. Then we obtain the relationships between them and construct a topology and some hypergroups on a general fuzzy recognizer.