The paper concludes that the use of crisp logic with complete knowledge leads to perfection in handling situations whereas fuzzy logic can handle situations imperfectly only. However, in the light of availability of incomplete knowledge fuzzy theory is more effective but may be disadvantageous as ...
英语翻译Fuzzy logic attempts to quantify the degree of truth of propositions and consequences.Unlike crisp logic where either a proposition is true or false,in fuzzy logic,a proposition may be true (1),half true (0.5) or false (0).This gives way to multi
aIn Fuzzy Logic Toolbox, the input is always a crisp numerical value limited to the universe of discourse of the input variable and the output is a fuzzy degree of membership in the qualifying linguistic set. 在模糊逻辑工具箱,输入总是一个酥脆数值被限制到论域输入变数的,并且产品是模糊的程度会...
The problem of minimizing finite fuzzy interpretations in fuzzy description logics (FDLs) is worth studying. For example, the structure of a fuzzy/weighted social network can be treated as a fuzzy interpretation in FDLs, where actors are individuals and actions are roles. Minimizing the structure...
We explore this situation using randomly generated decision problems and the VIKOR method as an example.Blanca CeballosMaria T. LamataDavid A. PeltaRonald R. YagerConference of the European Society for Fuzzy Logic and TechnologyInternational Workshop on Intuitionistic Fuzzy Sets and Generalized Nets...
U.: Finite fuzzy description logics and crisp representations. In: Uncertainty Reasoning for the Semantic Web - Bobillo, Straccia - 2013 () Citation Context ...ractable case, very little is known about the complexity of subsumption with general t-norms. If we restrict the set of membership ...
Fuzzy Logic Deduction with Crisp Observations - Dvořák, Novák () Citation Context ...luating linguistic expressions seem to be simple enough to make possible an explicit definition of the set of contexts. Namely, we will put W = {〈vL, vS , vR〉 | vL, vS , vR ∈ [0,...
crisp logicfuzzy logicIn today's business world there is an abundance of available data and a great need to make good use of it. Many businesses would benefit from examining customer habits and trends and making marketing and product decisions based on that analysis. However, the process of ...
Models for Inexact Reasoning Fuzzy Logic – Lesson 1 Crisp and Fuzzy SetsMaster in Computational Logic Department of Artificial IntelligenceOrigins and Evolution of Fuzzy Logic• Origin: Fuzzy Sets Theory (Zadeh, 1965) • Aim: Represent vagueness and impre-cission of statements in natural ...
This paper provides an analytical learning system based on Fuzzy Logic AGgregation (FLAG) of crisp data partitions to improve the Triage process in a hospitality emergency department. The method compares patient rankings made by nurses with those made by an Expert to detect points for improvement. ...