Journal ArticleDOI
An Insight Into The Z-number Approach To CWW
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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Proceedings ArticleDOI
A new approach to representing and defuzzifying a Z-number and Z-valuation
TL;DR: This paper discussed the approach to converting from a Z-number to a crisp number by computing the centroid of the interval-valued fuzzy set with K-M algorithm, which can be used for decision making.
Journal ArticleDOI
Z * -Numbers, Data Structures, and Thinking in Machine-Mind Architecture
Romi Banerjee,Sankar K. Pal +1 more
TL;DR: This article describes the efforts towards the realization of such a machine – an embodied machine-mind – endowed with abilities of multisensory processing, commonsense reasoning, reflection, consciousness, and empathy.
Book ChapterDOI
A New Vision of Zadeh’s Z-numbers
TL;DR: This paper presents a new vision of Z-numbers based on discrete fuzzy numbers with support in a finite chain \(L_n\), and an aggregation method is proposed with the aim of applying it in group decision making problems.
Journal ArticleDOI
A Method of Uncertainty Measurements for Multidimensional Z-number and Their Applications
TL;DR: The entropy of multidimensional Z-number is defined and an entropy formula is established, and the entropy is used to construct an average operator of multi-dimensional Z-numbers by combining the average operator with the TOPSIS decision-making method.
Journal ArticleDOI
An Extension of Fuzzy Linguistic Summarization Considering Probabilistic Uncertainty
TL;DR: This research presents a meta-analyses of corpus linguistics showing clear trends in how language summarization helps to express large volumes of quantitative data in easy understandable natural language based forms.
References
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Journal ArticleDOI
WordNet: a lexical database for English
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.
Journal ArticleDOI
WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
Journal ArticleDOI
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Book
Computing Machinery and Intelligence
TL;DR: If the meaning of the words “machine” and “think” are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, “Can machines think?” is to be sought in a statistical survey such as a Gallup poll.
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.