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Articles by Tamás Jónás
Forecasting the Number of Passengers on Hungarian Railway Routes Using a Similarity and Fuzzy Arithmetic-Based Inference Method
1. Introduction Nowadays, when mobility plays a major role in the economy, in business and in private life, understanding the magnitude of the demand for a transport service has become an important factor for service providers. This is also the case for railway operators, for whom forecasting the expected number of passengers on a railway route that does not yet exist is of great importance. Accordingly, several methods have been developed to forecast rail passenger traffic.
A Group Consensus Measure That Takes into Account the Relative Importance of the Decision-Makers
1. Introduction In a group decision making (GDM) situation, the final decision is usually based on an aggregate score of the inputs provided by the decision-makers. This aggregate score is quite similar to the concept of measure of central tendency in descriptive statistics; i.e., it may be viewed as a mean value.
A Fuzzy Entropy-Based Group Consensus Measure for Financial Investments
1. Introduction In group decision making (GDM), the degree of agreement among the group members, i.e., the level of consensus, is a crucial characteristic of the decision-making process. It can be highlighted using an analogy: regarding the decision-making process, the overall evaluation of the decision makers may be considered as some measure of central tendency with which the distribution of a quantitative variable can be characterized.
A two‐parameter parsimonious bathtub model for the analysis of system failure times with illustrations to reliability data
REFERENCES 1 MIL reliability: a new approach. IEEE Spectr. 1992; 29(8): 46-49. 2, , A critical look at the bathtub curve. IEEE Trans Reliab. 2003; 52(1): 125-129. 3 A new bathtub curve model with a finite support. Reliab Eng Syst Saf. 2013; 119: 44-51. 4, , Generalized q-Weibull model and the bathtub curve. Int J Qual Reliab Manag. 2013; 30(7): 720-736. 5, Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Trans Reliab. 1993; 42(2): 299-302. 6, , A modified Weibull distribution.
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