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Tamás Jónás

Researcher at Eötvös Loránd University

Publications -  51
Citations -  262

Tamás Jónás is an academic researcher from Eötvös Loránd University. The author has contributed to research in topics: Computer science & Function (biology). The author has an hindex of 7, co-authored 41 publications receiving 171 citations. Previous affiliations of Tamás Jónás include Budapest University of Technology and Economics.

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Ranking trapezoidal fuzzy numbers using a parametric relation pair

TL;DR: Using the probability-based preference intensity index, two crisp relations are introduced, which have a common parameter, over a collection of fuzzy sets that have trapezoidal membership functions and one of them may be interpreted as a relation that expresses the order indifference of fuzzy numbers.
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Modeling and long-term forecasting demand in spare parts logistics businesses

TL;DR: This paper examines the purchase life-cycles of electronic spare parts and presents a new way of modeling and forecasting spare part demand for electronic commodities in the spare parts logistics services that may be viewed as a viable alternative spare parts demand forecasting technique in spare part logistics sector.
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The omega probability distribution and its applications in reliability theory

TL;DR: It is demonstrated that the curve of the omega hazard function with special parameter settings is bathtub shaped and so it can be utilized to describe a complete bathtub-shaped hazard curve, and proposed two approaches for practical statistical estimation of distribution parameters.
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Approximations to the Normal Probability Distribution Function using Operators of Continuous-valued Logic

József Dombi, +1 more
- 01 Jan 2018 - 
TL;DR: It is demonstrated here that application of the averaging Dombi conjunction operator to two symmetric Sigmoid fuzzy membership functions results in a function that is identical with Tocher’s approximation to the standard normal probability distribution function.
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Course evaluation by importance‐performance analysis and improving actions at the Budapest University of Technology and Economics

TL;DR: In this paper, the authors conducted an extended survey among students in five different business courses in order to get deeper knowledge about the factors influencing student (dis)satisfaction, and the main objective was to identify the factors that were given the greatest importance by the students, but where the performance of the course was low.