fuzzy

[25] Nieradka, G., Butkiewicz, B., "A method for automatic membership function estimation based on fuzzy measures foundations of fuzzy logic and soft computing," Lecture Notes in computer science, vol.

[26] Cheng, H.D., Xu, H., "A novel fuzzy logic approach to mammogram contrast enhancement," Inf.

Comparison of two fuzzy numbers is a major computational task in various algorithms.

Here, we review the fundamental notions of bipolar fuzzy sets and Kerre's method for unipolar numbers in Section 2.

is said to be a fuzzy point with support x and value t and is denoted by [x.sub.t].

For any two fuzzy subsets f and g of H, f [less than or equal to] g means that, for all x [member of] H, f(x) [less than or equal to] g(x).

With that, this study will determine the bicep EMG signal behavior using its threshold level via fuzzy logic approach.

Fuzzy logic control is merely the application or implementation of fuzzy logic to control system [9].

Definition 2 (Triangular fuzzy number [4]): A fuzzy number [??] = {a, b, c} is said to be a triangular fuzzy number if its membership function is given by, where a [less than or equal to] b [less than or equal to] c

A Trapezoidal fuzzy number (TrFN) denoted by [[??].sub.P] is defined as (a, b, c, d), where the membership function

Let f and g be two fuzzy subsets of an ordered LA-semihypergroup H, then f * g is defined as

Let F(H) denote the set of all fuzzy subsets of an ordered LA-semihypergroup.

Roy, (2015) developed a fuzzy inventory model for deteriorating items with price dependent demand where deterioration rate and holding cost were linearly increasing functions of time.

In this article, we focus on the implementation of fuzzy set theory in the inventory control of deteriorating items where deterioration rate follows weibull distribution and the demand rate is a function of selling price.