designing fuzzy algorithms to develop healthy dietary pattern

Designing Fuzzy Algorithms to Develop Healthy Dietary Pattern

BACKGROUND Fuzzy logic, a mathematical approach, defines the percentage of desirability for recommended amount of food groups and describes the range of intakes, from deficiency to excess. OBJECTIVES The purpose of this research was to find the best fuzzy dietary pattern that constraints energy and nutrients by the iterative algorithm. MATERIALS AND METHODS An index is derived that reflects...

Designing Fuzzy Net Controllers using Genetic Algorithms

As control system tasks become more demanding, more robust controller design methodologies are needed. A Genetic Algorithm (GA) optimizer, which utilizes natural evolution strategies, o ers a promising technology that supports optimization of the parameters of fuzzy logic and other parameterized non-linear controllers. This paper shows how GAs can e ectively and e ciently optimize the performan...

Designing Pattern Matching Algorithms by Exploiting Structural Pattern Properties

Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition

Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't want to read, you can get punishment from the publisher. Read a book becomes a choice of your different characteristics. Many people with reading habit will always be enjoyable to read, or on the contrary. For some reasons, this fuzzy algorithms with applications to i...

Designing optimal- and fast-on-average pattern matching algorithms

Given a pattern w and a text t, the speed of a pattern matching algorithm over t with regard to w, is the ratio of the length of t to the number of text accesses performed to search w into t. We first propose a general method for computing the limit of the expected speed of pattern matching algorithms, with regard to w, over iid texts. Next, we show how to determine the greatest speed which can...

Genetic Algorithms for Optimum Designing of Fuzzy Controllers

This study investigates the use of Genetic Algorithms (GAs) to the design and implementation of Fuzzy Logic Controllers (FLC). Generally, the design of FLC involves determination of the structure of the rules, and membership function parameters. In this paper we presents a methodology for simultaneously design membership functions and rule sets for them. Most techniques treat these parts separa...