Penerimaan Karyawan Menggunakan Metode Fuzzy Logic

Sponsored link: Download Penerimaan Karyawan Menggunakan Metode Fuzzy Logic
On this page you can read or download Penerimaan Karyawan Menggunakan Metode Fuzzy Logic in PDF format. We also recommend you to learn related results, that can be interesting for you. If you didn't find any matches, try to search the book, using another keywords.
Applied Logic Lecture Part Fuzzy Logic
applied logic lecture part fuzzy logic
. dependencies that by nature are imprecise and vague so called fuzzy concepts (sets). Again, the example of such concept is the. cm qualifies John as tall or not. In the fuzzy set theory we may be more subtle and express to.

Language: english
PDF pages: 36, PDF size: 0.45 MB
Report
Superheater Steam Control Using Fuzzy Logic
superheater steam control using fuzzy logic
Then a controller, which is named “reference signal generator”, will be designed to lead the system to the optimum operating condition at various wind speeds. Control objectives are to regulate the terminal voltage of the generator, to increase generator efficiency, and to capture maximum power from the wind. The simulation results show that the proposed controller led the system to the optimum conditions whatever the wind speed. Since in this controller, the aim is the optimum steady state conditions, it .

Language: english
PDF pages: 249, PDF size: 0.9 MB
Report
Superheater Steam Control Using Fuzzy Logic
superheater steam control using fuzzy logic
In this paper, we will present at the first a complete model for a wind turbine system with a VSCM generator which is connected via a gear box to a tree bladed pitch controlled horizontal axis wind turbine from one side, and via a PWM converter to the grid line from the other side. Then a controller, which is named “reference signal generator”, will be designed to lead the system to the optimum operating condition at various wind speeds. Control objectives are to regulate the terminal voltage of the .

Language: english
PDF pages: 249, PDF size: 0.9 MB
Report
The Reason Why Choose Fuzzy Logic
the reason why choose fuzzy logic
1. Introduction. The clustering problem has broad appeal and usefulness in exploratory data analysis, and the procedure of clustering is a basis process to human understanding [16]. The purpose of cluster analysis is to divide the disordered data into several clusters to make the data of the same cluster possess high similarity, and the data of different clusters have great differences [11,15,22,24,28,29,31,34]. The grouping of related objects can be found in various fields [5]. For example, recently, .

Language: english
PDF pages: 190, PDF size: 7.22 MB
Report
Microsoft Powerpoint - Ch 7 Fuzzy Logic
microsoft powerpoint - ch 7 fuzzy logic
Most Words and Evaluations We Use in Our Daily Reasoning Are Not Clearly Defined in a Mathematical Manner. This Allows Humans to Reason on an Abstract Level! Stochastic Uncertainty: The probability of hitting the target is 0.8 Lexical Uncertainty: "Tall Men", "Hot Days", or "Stable Currencies" We will probably have a successful business year. The experience of expert A shows that B is Likely to Occur. However, expert C is convinced This Is Not True. Example: One finds in .

Language: english
PDF pages: 66, PDF size: 0.45 MB
Report
1   2   3   4   5   6   7   8   9   10   Next page →
English ▼
Home Copyright Information Privacy Policy Contact us

PDFSB.NET | All Rights Reserved
This project is a PDF search engine and do not store, hold or retain any files.