Search Results for author: Michael Gr. Voskoglou

Found 10 papers, 0 papers with code

An Application of Neutrosophic Sets to Decision Making

no code implementations16 May 2023 Michael Gr. Voskoglou

In this work, in order to tackle more efficiently cases in which the decision maker has doubts about the correctness of the fuzzy/qualitative characterizations assigned to some or all of the elements of the universal set, we replace the binary elements of the tabular form by neutrosophic triplets.

Decision Making

Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives

no code implementations10 Nov 2022 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.

Decision Making

A Study of Student Learning Skills Using Fuzzy Relation Equations

no code implementations2 Apr 2018 Michael Gr. Voskoglou

Fuzzy relation equations (FRE)are associated with the composition of binary fuzzy relations.

Relation

Application of Grey Numbers to Assessment Processes

no code implementations2 Apr 2018 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.

Comparison of the COG Defuzzification Technique and Its Variations to the GPA Index

no code implementations30 Nov 2016 Michael Gr. Voskoglou

The Center of Gravity (COG) method is one of the most popular defuzzification techniques of fuzzy mathematics.

An Application of the Generalized Rectangular Fuzzy Model to Critical Thinking Assessment

no code implementations8 Jan 2016 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.

Analogy-Based and Case-Based Reasoning: Two sides of the same coin

no code implementations29 May 2014 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 a new analogous problem.

Assessing the players'performance in the game of bridge: A fuzzy logic approach

no code implementations29 Apr 2014 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.

A stochastic model for Case-Based Reasoning

no code implementations4 Jan 2014 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 solution of similar past problems.

Dealing with the Fuzziness of Human Reasoning

no code implementations21 Nov 2013 Michael Gr. Voskoglou, Igor Ya. Subbotin

Reasoning, the most important human brain operation, is charactrized by a degree fuzziness.

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