64 citations · 161 across the 17 of their papers we have counts for
19 papers
An Application of Neutrosophic Sets to Decision Making
Michael Gr. Voskoglou
Maji et al. introduced in 2002 a method of parametric decision making using soft sets as tools and representing their tabular form as a binary matrix. In cases, however, where some…
Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
Michael Gr. Voskoglou
The present paper comes across the main steps that laid from Zadeh's fuzziness ana Atanassov's intuitionistic fuzzy sets to Smarandache's indeterminacy and to Molodstov's soft sets…
Assessment and Linear Programming under Fuzzy Conditions
Michael Voskoglou
A new fuzzy method is developed using triangular/trapezoidal fuzzy numbers for evaluating a group's mean performance, when qualitative grades instead of numerical scores are used f…
Application of Grey Numbers to Assessment Processes
Michael Gr. Voskoglou, Yiannis Theodorou
The theory of grey systems plays an important role in science,engineering and in the everyday life in general for handling approximate data. In the present paper grey numbers are u…
A Study of Student Learning Skills Using Fuzzy Relation Equations
Michael Gr. Voskoglou
Fuzzy relation equations (FRE)are associated with the composition of binary fuzzy relations. In the present work FRE are used as a tool for studying the process of learning a new s…
Comparison of the COG Defuzzification Technique and Its Variations to the GPA Index
Michael Gr. Voskoglou
The Center of Gravity (COG) method is one of the most popular defuzzification techniques of fuzzy mathematics. In earlier works the COG technique was properly adapted to be used as…
An Application of the Generalized Rectangular Fuzzy Model to Critical Thinking Assessment
Igor Ya. Subbotin, Michael Gr. Voskoglou
The authors apply the Generalized Rectangular Model to assessing critical thinking skills and its relations with their language competency.
Applications of Finite Markov Chain Models to Management
Michael Gr. Voskoglou
Markov Chains offer ideal conditions for the study and mathematical modelling of a certain kind of situations depending on random variables. The basic concepts of the corresponding…
Use of the Triangular Fuzzy Numbers for Student Assessment
Michael Voskoglou
In an earlier work we have used the Triangular Fuzzy Numbers (TFNs)as an assessment tool of student skills.This approach led to an approximate linguistic characterization of the st…
Fuzzy models for learning assessment
Igor Ya. Subbotin, Michel Gr. Voskoglou
In the current paper a new Trapezoidal Fuzzy Model for Assessment is developed. This model is a variation of a special form of the commonly used in Fuzzy Mathematics Center of Grav…
Analogy-Based and Case-Based Reasoning: Two sides of the same coin
Michael Gr. Voskoglou, Abdel-Badeeh M. Salem
Analogy-Based (or Analogical) and Case-Based Reasoning (ABR and CBR) are two similar problem solving processes based on the adaptation of the solution of past problems for use with…
Assessing the players'performance in the game of bridge: A fuzzy logic approach
Michael Gr. Voskoglou
Contract bridge occupies nowadays a position of great prestige being, together with chess, the only mind games officially recognized by the International Olympic Committee. In the…
A stochastic model for Case-Based Reasoning
Michael Gr. Voskoglou
Case-Bsed Reasoning (CBR) is a recent theory for problem-solving and learning in computers and people.Broadly construed it is the process of solving new problems based on the solut…
Dealing with the Fuzziness of Human Reasoning
Michael Gr. Voskoglou, Igor Ya. Subbotin
Reasoning, the most important human brain operation, is charactrized by a degree fuzziness. In the present paper we construct a fuzzy model for the reasoning process giving through…
A Study on Fuzzy Systems
Michael Gr. Voskoglou
We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy. Further,…
Problem Solving and Computational Thinking in a Learning Environment
Michael Gr. Voskoglou, Sheryl Buckley
Computational thinking is a new problem soling method named for its extensive use of computer science techniques. It synthesizes critical thinking and existing knowledge and applie…
Derivations and Iterated Skew Polynomial Rings
Michael Gr. Voskoglou
Two are the objectives of the present paper. First we study properties of a differentially simple commutative ring R with respect to a set D of derivations of R. Among the others w…
A Fuzzy Model for Analogical Problem Solving
Michael Gr. Voskoglou
In this paper we develop a fuzzy model for the description of the process of Analogical Reasoning by representing its main steps as fuzzy subsets of a set of linguistic labels char…
Applications of fuzzy logic to Case-Based Reasoning
Igor Ya. Subbotin, Michael Gr. Voskoglou
The article discusses some applications of fuzzy logic ideas to formalizing of the Case-Based Reasoning (CBR) process and to measuring the effectiveness of CBR systems