Managers, in today's corporations, rely increasingly on the use of databases to obtain insights and updated information to make their decisions. This paper describes a flexible query interface based on fuzzy logic. Hence, queries in natural language with pre-defined syntactical structures are performed, and the system uses a fuzzy natural language process to provide answers. This process uses t...

Indian languages have long history in World Natural languages. Panini was the first to define Grammar for Sanskrit language with about 4000 rules in fifth century. These rules contain uncertainty information. It is not possible to Computer processing of Sanskrit language with uncertain information. In this paper, fuzzy logic and fuzzy reasoning are proposed to deal to eliminate uncertain inform...

This paper studies computational properties of fuzzy logic deduction and compares them with the standard inference methods. The principles of deduction in fuzzy logic are explained and algorithms for its computer realization are described. Basic algorithm has exponential complexity with respect to the number of antecedent variables, and in case of fuzzy observations we are able to improve its p...

This paper presents an approach to approximate reasoning over a set of IF-THEN rules called fuzzy logic deduction. It understands IF-THEN rules as linguistically expressed logical implications and interprets them inside formal logical theory. Methodology and some properties

The deduction problem we will consider can be loosely described as follows: given the probabilities of some events, we wish to compute the probabilities of some other events. The terms "event" and "probability" are to be understood as having the meaning assigned to them in statistics. Probabilistic inference rules have been shown to constitute a key ingredient of expert systems. This report add...

In this article, we return to the problem of the derivation of a conclusion on the basis of fuzzy IF–THEN rules. The, so called Mamdani method is well elaborated and widely applied. In this article, we present an alternative to it. The fuzzy IF–THEN rules are here interpreted as genuine linguistic sentences consisting of the so called evaluating linguistic expressions. Sets of fuzzy IF–THEN rul...

Intuitionistic fuzzy logic IF was introduced by Takeuti and Titani. This logic coincides with the first-order Gödel logic based on the real unit interval [0, 1] as set of truth-values. We present a natural deduction system NIF for IF . NIF is defined by suitably translating a first-order extension of Avron’s hypersequent calculus for Gödel logic. Soundness, completeness and normal form theorems...

The accurate interpretation of Blood Glucose (BG) values is essential for diabetes care. However, BG monitoring data does not provide complete information about associated meal and moment of measurement, unless patients fulfil it manually. An automatic classification of incomplete BG data helps to a more accurate interpretation, contributing to Knowledge Management (KM) tools that support decis...