Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 47 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 13 tok/s Pro
GPT-5 High 12 tok/s Pro
GPT-4o 64 tok/s Pro
Kimi K2 160 tok/s Pro
GPT OSS 120B 452 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Resolution in Linguistic First Order Logic based on Linear Symmetrical Hedge Algebra (1403.6237v2)

Published 25 Mar 2014 in cs.LO

Abstract: This paper focuses on resolution in linguistic first order logic with truth value taken from linear symmetrical hedge algebra. We build the basic components of linguistic first order logic, including syntax and semantics. We present a resolution principle for our logic to resolve on two clauses having contradictory linguistic truth values. Since linguistic information is uncertain, inference in our linguistic logic is approximate. Therefore, we introduce the concept of reliability in order to capture the natural approximation of the resolution inference rule.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.