This paper discusses the merits and demerits of crisp logic and fuzzy logic with respect to their applicability in intelligent response generation by a human being and by a robot. Intelligent systems must have the capability of taking decisions that are wise and handle situations intelligently. A ...
We survey some of the main Crisp and Fuzzy (Computational) Intelligence works, which have been developed for the solution of the real world production planning and scheduling problems. Development of better production planning and scheduling can help man
模糊逻辑的基础 Fuzzy Logic Basics ? The fuzzy control or inference process comprises three basic steps: 模糊控制或模糊推理 过程包含三步: (1)模糊化 (2)模糊推理 (3)逆模糊化 Fuzzification: Crisp Input Fuzzy Input Fuzzy Rules Fuzzy Output Defuzzification Crisp Output Fuzzy process overview 模糊化 ...
Fuzzy logic is the generalization of crisp logic (Boolean logic), in which a variable’s truth value is represented by a real integer between one and zero. A fuzzy inference system (FIS) is a rule-based system that can automate human decision-making by simulating human thinking. The fuzzy ...
crisp, clearly defined boundaries. In such cases, membership in a set is a matter of degree. In this perspective, fuzzy logic in its narrow sense is a branch of FL. Even in its more narrow definition, fuzzy logic differs both in concept and substance from traditional multivalued logical ...
模糊逻辑FuzzyLogic 一个模糊集A是以隶属函数μ(x)A来描述，μA(x)=1时，x确定性隶属于A；当A当μ(x)=0时，x确定性不隶属于A；A当μ(x)=其他值时，隶属程度模糊。Example-1隶属函数 μ 1 年龄在30~65岁之间的人不能确定性地划归某一个子集。MOY 0 30 50 65 年龄 Example-2温控器 •Astandard...
In most cases fuzzy logic is considered to be an ideal tool as human minds work from approximate data, extract meaningful information and produce crisp solutions. This paper surveys the utilisation of fuzzy logic control and monitoring in medical sciences with an analysis of its possible future ...
Theoretical aspects of fuzzy set theory and fuzzy logic are covered in Part One, including: basic types of fuzzy sets; connections between fuzzy sets and crisp sets; the various aggregation operations of fuzzy sets; fuzzy numbers and arithmetic operations on fuzzy numbers; fuzzy relations and the...
To this end, a Fuzzy Logic and Fog based Secure Architecture for IoT (FLFSIoT) has been proposed in this paper that works in real-time. In FLFSIoT, fuzzy logic has been used to alleviate the uncertainty of belonging to one crisp cluster of an edge node and for detecting various ...
Fuzzy logic is inherently well suited to characterizing vague and imperfectly defined knowledge, a situation encountered in most geological data. It can thus yield models that are simpler and more robust than those based on crisp logic. The method is simple, easy to comprehend, and robust. It ...