Identification of petrophysical parameters including porosity plays an important role to
evaluate hydrocarbon reservoirs. A precise prediction of porosity in oil and gas reservoirs …

In this paper we propose a three-step approach to predict permeability. First, by using
Electrofacies Analysis (EA), data are classified into several clusters. We take advantage of …

In this article, we introduce a method for reasoning with words based on hedge algebra
using linguistic cognitive map. Our model consists of set of vertices and edges with value to …

Reductants are a special kind of fuzzy rules which constitute an essential theoretical tool for
proving correctness properties. As it has been reported, when interpreted on a partially …

Fuzzy logic aims at modeling logical reasoning with vague or imprecise statements, which
may contain linguistic hedges. In fact, many hedges, eg, very, highly, rather, and slightly, can …

Fuzzy linguistic logic programming is a logical system for representing and reasoning with
linguistically-expressed human knowledge. In fuzzy linguistic logic programming, up until …

Based on our previous researchs about generalized modus ponens (GMP) with linguistic
modifiers for If… Then rules, this paper proposes new generalized modus tollens (GMT) …

The study stands on the standpoint that there exist relationships between real-world
structures and their provided information in reality. Such relationships are essential because …

Approximate reasoning is based on generalized modus ponens (GMP). Its principle is that
from an observation different but approximately equal to the rule premise, we can deduce a …

Fuzzy linguistic logic programming (FLLP) is a framework for representation and reasoning
with linguistically expressed human knowledge. In this paper, we extend FLLP by allowing …