List of Articles ‎Soft set‎

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  1 - A Hybrid Model for Assessing Student Mathematical Skills
  Michael Voskoglou
  10.30495/tfss.2022.1971496.1052
  Student assessment is a very important process in education, because it helps the instructor to determine student mistakes and to improve their performance by reforming his/her teaching plans. A hybrid assessment method using qualitative grades for evaluating student ma More

  Student assessment is a very important process in education, because it helps the instructor to determine student mistakes and to improve their performance by reforming his/her teaching plans. A hybrid assessment method using qualitative grades for evaluating student mathematical skills is presented in this work. The paper starts with the mathematical background which is necessary for the understanding of its contents. This includes basic information about fuzzy, neutrosophic and soft sets, and about grey numbers. It also includes a description of the use of the center of gravity (COG) defuzzification technique for assessing a student group’s quality performance. The COG technique is compared with the classical method of calculating the GP A index. The hybrid assessment method, which is based on all the previous concepts and processes, is developed next and the article closes with the final conclusion and some recommendations for future research. Manuscript profile
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  2 - Use of Soft sets and the Bloom's Taxonomy for Assessing Learning Skills
  Michael Voskoglou
  10.30495/tfss.2022.690594
  Learning, a universal process that all individuals experience, is a fundamental component of human cognition. It combines cognitive, emotional and environmental influences for acquiring or enhancing ones knowledge and skills. Volumes of research have been written about More

  Learning, a universal process that all individuals experience, is a fundamental component of human cognition. It combines cognitive, emotional and environmental influences for acquiring or enhancing ones knowledge and skills. Volumes of research have been written about learning and many theories have been developed for the description of its mechanisms. The goal was to understand objectively how people learn and then develop teaching approaches accordingly. In this paper soft sets, a generalization of fuzzy sets introduced in 1999 by D. Molodstov as a new mathematical tool for dealing with the uncertainty in a parametric manner, are used for assessing student learning skills with the help of the Blooms taxonomy. Blooms taxonomy has been applied and is still applied by generations of teachers as a teaching tool to help balance assessment by ensuring that all orders of thinking are exercised in student learning. The innovative assessment method introduced in this paper is very useful when the assessment has qualitative rather than quantitative characteristics. A classroom application is also presented illustrating its applicability under real conditions. Manuscript profile
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  3 - ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
  Michael Voskoglou
  10.30495/tfss.2022.1960147.1036
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  4 - The Soft Fuzzy Set In Electrical
  Tahere Zare Farhad Ben Mohamad Khajeh Vesal Toranj
  10.30495/fomj.2021.678783
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  5 - On Fixed Points of Soft Set-Valued Maps
  Mohammed Shehu Shagari Ibrahim Fulatan Yahaya Sirajo
  10.30495/fomj.2021.1938962.1034
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  6 - On fuzzy soft connected topological spaces
  S. Karataş B. Kılıccedil M. Tellioğlu
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  7 - Fuzzy soft ideals of near-subraction semigroups
  V. Chinnadurai S. Kadalarasi
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  8 - Generalized inverse of fuzzy neutrosophic soft matrix
  R. Uma P. Murugadas S. Sriram
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  9 - Minimal solution of fuzzy neutrosophic soft matrix
  M. Kavitha P. Murugadas S. Sriram
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  10 - On the powers of fuzzy neutrosophic soft matrices
  M. Kavitha P. Murugadas S. Sriram
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  11 - Soft regular generalized b-closed sets in soft topological spaces
  S. M. Al-Salem
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  12 - ‎A “Journey” from Traditional to Fuzzy Methods of Decision-Making
  Michael Gr. Voskoglou
  10.30495/TFSS.2024.1106981
  ‎Decision-making (DM) is one of the most important components of human cognition‎. ‎Starting with a review of the traditional criteria for DM‎, ‎this work presents also a method for the verification of a decision‎, ‎a step of the DM process which‎, ‎due to its special i More

  ‎Decision-making (DM) is one of the most important components of human cognition‎. ‎Starting with a review of the traditional criteria for DM‎, ‎this work presents also a method for the verification of a decision‎, ‎a step of the DM process which‎, ‎due to its special interest‎, ‎is usually examined separately from its other steps‎. ‎Frequently in everyday life‎, ‎however‎, ‎the data of a DM problem are vague and characterized by uncertainty‎. ‎In such cases the traditional techniques for DM‎, ‎which are based on principles of the bivalent logic (yes-no)‎, ‎cannot help effectively in making the right decision‎. ‎The first who introduced principles of the fuzzy sets theory in DM were Bellman and Zadeh in 1970 and an example is given here illustrating their fuzzy criterion for DM‎. ‎Also‎, ‎among the several fuzzy methods proposed later by other researchers for a more effective DM‎, ‎a hybrid method is developed here for parametric multiple-criteria DM using soft sets and grey numbers (or intuitionistic fuzzy sets‎, ‎or neutrosophic sets) as tools‎, ‎which improves an earlier method proposed by Maji et al‎. ‎in 2002‎. ‎All the DM approaches presented in this paper are illustrated with everyday practical examples‎. Manuscript profile