Journal ArticleDOI
An Insight Into The Z-number Approach To CWW
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TLDR
A comprehensive investigation of the Z-number approach to CWW, which serves as a model of linguistic summarization of natural language statements, a technique to merge human-affective perspectives with C WW, and consequently can be envisaged to play a radical role in the domain of CWW-based system design and Natural Language Processing NLP.Abstract:
The Z-number is a new fuzzy-theoretic concept, proposed by Zadeh in 2011. It extends the basic philosophy of Computing With Words CWW to include the perception of uncertainty of the information conveyed by a natural language statement. The Z-number thus, serves as a model of linguistic summarization of natural language statements, a technique to merge human-affective perspectives with CWW, and consequently can be envisaged to play a radical role in the domain of CWW-based system design and Natural Language Processing NLP. This article presents a comprehensive investigation of the Z-number approach to CWW. We present here: a an outline of our understanding of the generic architecture, algorithm and challenges underlying CWW in general; b a detailed study of the Z-number methodology-where we propose an algorithm for CWW using Z-numbers, define a Z-number based operator for the evaluation of the level of requirement satisfaction, and describe simulation experiments of CWW utilizing Z-numbers; and c analyse the strengths and the challenges of the Z-numbers, and suggest possible solution strategies. We believe that this article would inspire research on the need for inclusion of human-behavioural aspects into CWW, as well as the integration of CWW and NLP.read more
Citations
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Journal ArticleDOI
Natural Strategies to Improve Quality in Food Protection
Book ChapterDOI
On the Aggregation of Zadeh’s Z-Numbers Based on Discrete Fuzzy Numbers
TL;DR: Algebraic structures in the set of Zadeh’s Z-numbers are studied and a method to construct aggregation functions from couples of discrete aggregation functions, including t-norms and t-conorms is proposed.
Proceedings ArticleDOI
Z-Adaptive Fuzzy Inference Systems
TL;DR: Z-Adaptive Fuzzy Inference System (ZAFIS) as discussed by the authors learns the parameters of Z-numbers from input-output data pairs using a gradient descent algorithm.
Journal ArticleDOI
Novel decision aid model for green supplier selection based on extended EDAS approach under pythagorean fuzzy Z-numbers
TL;DR: In this article , the authors define the Pythagorean fuzzy Z-number arithmetic aggregation operators and geometric aggregation operators, and propose a fast decision model to deal with the issue of multi-criteria decision-making.
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TL;DR: In this article, a model for curiosity-driven learning and inference for real-world AI agents is proposed based on the arousal of curiosity, deriving from observations along discontinuities in the fundamental macroscopic solid-body physics parameters, i.e., shape constancy, spatial-temporal continuity, and object permanence.
References
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TL;DR: WordNet1 provides a more effective combination of traditional lexicographic information and modern computing, and is an online lexical database designed for use under program control.
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Journal ArticleDOI
Fuzzy logic = computing with words
TL;DR: The point of this note is that fuzzy logic plays a pivotal role in CW and vice-versa and, as an approximation, fuzzy logic may be equated to CW.