Vagueness of Linguistic variable
Supriya Raheja, Smita Rajpal

TL;DR
This paper explores how vague set theory can address the vagueness inherent in linguistic variables, enhancing the modeling of natural language in intelligent systems.
Contribution
It applies vague set theory to quantify and manage vagueness in linguistic variables within the framework of eventology and reasoning processes.
Findings
Vague set theory effectively models linguistic vagueness.
Application of vague sets improves natural language understanding.
The approach integrates with eventology for reasoning about vague events.
Abstract
In the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent. The ability to create intelligent machines has intrigued humans since ancient times and today with the advent of the computer and 50 years of research into various programming techniques, the dream of smart machines is becoming a reality. Researchers are creating systems which can mimic human thought, understand speech, beat the best human chessplayer, and countless other feats never before possible. Ability of the human to estimate the information is most brightly shown in using of natural languages. Using words of a natural language for valuation qualitative attributes, for example, the person pawns uncertainty in form of vagueness in itself estimations. Vague sets, vague judgments, vague conclusions takes place there and then, where and when the reasonable…
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Taxonomy
TopicsMulti-Criteria Decision Making · Fuzzy Systems and Optimization · Fuzzy Logic and Control Systems
