The main features of the fuzzy sets and their corresponding membership functions were presented in terms fuzzification process further by de-fuzzification operation. convexity α -(alfa) cuts is used decomposition sets. alfa defined precisely pair lowest upper greatest lower bounds. convex combination intervals sub-regions function considered as points defuzzified values methods to crisp formula...

In this paper, fuzzy morpuhological image processing is explained and reviewed. Based on the mathematical morphology rules, fuzzy sets and fuzzy logic theorem fuzzy morphology operations are defined. In general mathematical morphology operation definitions are similar structures set theory and set operations definitions. For this reason fuzzy set theory is easly applied to the mathematical morp...

[1] In radar reflectivity observations, the convective and stratiform rain types always have poorly defined boundaries, which caused problem for rain classification. A fuzzy logic (FL) algorithm is developed to classify convective and stratiform rainfall based on the radar reflectivity observations in the next three steps: First, the algorithm is calibrated on Hefei Doppler radar site in China....

This paper proposes a new approach based on quantum inspired evolutionary algorithm (QIEA) for effective selection and definition of fuzzy if-then control rules as well as the shapes of membership functions (MFs) to design fuzzy logic controllers (FLCs). The majority of works done on designing FLCs rely on the knowledge base derived from imprecise heuristic knowledge of experienced operators or...

To avoid distorting the visual information in an image, smoothing algorithms must preserve the details. However, some fine details are frequently treated as noise by general smoothing filters. In such situations,we encounter the problem of ambiguity or uncertainty between noise and fine details. A new nonlinear smoothing method using fuzzy reasoning techniques is proposed. Fuzzy set theory [1,2...

Memilih program studi bukanlah hal yang mudah. Karena jika salah dalam menentukan akan diambil maka berpengaruh terhadap motivasi belajar, lamanya masa melebihi dari standar berlaku, bahkan ada juga mengalami kegagalan. Dengan adanya Penentuan studi, diharapkan setiap mahasiswa dapat lebih fokus pada minat dan kemampuan dimiliki. Penerapan Fuzzy Inference System (FIS) metode Tsukamoto digunakan...

Given a concrete category (A, U) over X, the paper presents a fuzzification scheme of algebraic and topological structures over the category X(A) of A-valued X-objects with a fixed basis A.

In this paper, we introduce the concept of bipolar-valued fuzzification of ordered AG-groupoids and discuss some structural properties of bipolarvalued fuzzy two-sided ideals of an intra-regular ordered AG-groupoid.