DocumentCode :
3664014
Title :
Applied Z-numbers
Author :
Purvag Patel;Shahram Rahimi;Elham Khorasani
Author_Institution :
Department of Computer Science, Southern Illinois University, United States
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Z-number is an emerging paradigm that has been utilized in computing with words among others. The concept of a Z-number is intended to provide a basis for computation with numbers that deal with reliability and likelihood. Z-numbers are confluence between the two most prominent approaches to uncertainty, probability and possibility, which allow computations on complex statements. computations on Z-numbers require solving a complex optimization problem over the space of all possible probability distribution which leads in to its slow adoption to computing with words machinery. This paper seeks to provide an applied model of Z-numbers based on certain realistic assumptions regarding the probability distributions. An algorithm and example is presented to demonstrate the applicability of the model.
Keywords :
"Probability distribution","Pragmatics","Computational modeling","Gravity","Convolution","Mathematical model"
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
Type :
conf
DOI :
10.1109/NAFIPS-WConSC.2015.7284154
Filename :
7284154
Link To Document :
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