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On the Negation of discrete Z-numbers
Information Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qing Liu +3 more
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2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
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 ...
Purvag Patel +2 more
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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 ...
Purvag Patel +2 more
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A new approach to Zadeh’s Z-numbers: Mixed-discrete Z-numbers
Information Fusion, 2020Abstract One of the main goals of computing with words is the accurate modeling of natural language. In this direction, Z-numbers were introduced by Zadeh in 2011 as a pair of fuzzy numbers, (A, B), where A is interpreted as a fuzzy restriction on the values of a variable, while B is interpreted as a measure of certainty or sureness of A.
Sebastia Massanet +2 more
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Information volume of Z-number
Information Sciences, 2022A discrete Z-number \(X = (A,B)\) describing an uncertain variable \(X\) is a pair of fuzzy numbers \(A\), \(B\) where \(A\) is a fuzzy description of possible values of the variable and \(B\) is a fuzzy probability measure of \(A\). Here, a transformation of discrete Z-numbers to a probability mass function is presented and an information volume of Z ...
Ben Xu, Yong Deng
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Information Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tofigh Allahviranloo, Somayeh Ezadi
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tofigh Allahviranloo, Somayeh Ezadi
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Information Sciences, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2020
In this chapter, first the Z-number is introduced then calculating operations are defined. Moreover several ranking methods are investigated to order the Z-numbers for using in other appropriate models. To points out one of the application, a regression method based on neural network technique is described in detail.
Tofigh Allahviranloo, Somayeh Ezadi
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In this chapter, first the Z-number is introduced then calculating operations are defined. Moreover several ranking methods are investigated to order the Z-numbers for using in other appropriate models. To points out one of the application, a regression method based on neural network technique is described in detail.
Tofigh Allahviranloo, Somayeh Ezadi
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Modeling and implementation of Z-number
Soft Computing, 2015Computing with words provides symbolic and semantic methodology to deal with imprecise information associated with natural languages. It encapsulates various fuzzy logic techniques developed in past decades and formalizes them. Z-number is an emerging paradigm that has been utilized in computing with words among others.
Purvag Patel +2 more
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The arithmetic of continuous Z-numbers
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rafik A. Aliev +2 more
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On Z-valuations using Zadeh's Z-numbers
International Journal of Intelligent Systems, 2012We first recall the concept of Z-numbers introduced by Zadeh. These objects consist of an ordered pair (A, B) of fuzzy numbers. We then use these Z-numbers to provide information about an uncertain variable V in the form of a Z-valuation, which expresses the knowledge that the probability that V is A is equal to B.
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