14 citations · 63 across the 22 of their papers we have counts for
8 papers · 1 filter
Entropy and Syntropy in the Context of Five-Valued Logics
Vasile Patrascu
This paper presents a five-valued representation of bifuzzy sets. This representation is related to a five-valued logic that uses the following values: true, false, inconsistent, i…
Similarity, Cardinality and Entropy for Bipolar Fuzzy Set in the Framework of Penta-valued Representation
Vasile Patrascu
In this paper one presents new similarity, cardinality and entropy measures for bipolar fuzzy set and for its particular forms like intuitionistic, paraconsistent and fuzzy set. Al…
New HSL Distance Based Colour Clustering Algorithm
Vasile Patrascu
In this paper, we define a distance for the HSL colour system. Next, the proposed distance is used for a fuzzy colour clustering algorithm construction. The presented algorithm is…
The Neutrosophic Entropy and its Five Components
Vasile Patrascu
This paper presents two variants of penta-valued representation for neutrosophic entropy. The first is an extension of Kaufmann's formula and the second is an extension of Kosko's…
Multi-valued Color Representation Based on Frank t-norm Properties
Vasile Patrascu
In this paper two knowledge representation models are proposed, FP4 and FP6. Both combine ideas from fuzzy sets and four-valued and hexa-valued logics. Both represent imprecise pro…
A New Penta-valued Logic Based Knowledge Representation
Vasile Patrascu
In this paper a knowledge representation model are proposed, FP5, which combine the ideas from fuzzy sets and penta-valued logic. FP5 represents imprecise properties whose accompli…
Color Image Enhancement Using the lrgb Coordinates in the Context of Support Fuzzification
Vasile Patrascu
Image enhancement is an important stage in the image-processing domain. The most known image enhancement method is the histogram equalization. This method is an automated one, and…
A Generalization of Gustafson-Kessel Algorithm Using a New Constraint Parameter
Vasile Patrascu
In this paper one presents a new fuzzy clustering algorithm based on a dissimilarity function determined by three parameters. This algorithm can be considered a generalization of t…