Combination Study of Multi Fuzzy Cognitive Map

نویسنده

  • Chun-Mei Lin
چکیده

Multi-expert constructing Fuzzy cognitive map is a typical multiexpert knowledge combination problem. In this paper, we investigate the use of Dempster-Shafer evidence theory as a tool for multi-expert knowledge combination. In proposed method, we use each expert opinion as a evidence, the possible value of weight as frame of discernment, the expert’s evaluation to a weight on frame of discernment as basic probability assignment, and DempsterShafe rule as combined basis of basic probability assignment m. Finally, the weight is given according to combined basic probability assignment. The strategy can gradually reduce the hypothesis sets and approach the truth with the accumulation of evidences, which make the result of decision more all –around and more scientific. The experimental result is shown that the method can keep exactitude information, reduce conflict factor and improve knowledge quality.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-Expert Opinions Combination Based on Evidence Theory

An approach is presented to multi-expert’s opinions combination based on the Dempster-Shafer evidence theory. In the method, we use multi-expert’s knowledge as evidence, the possible value of weight as frame of discernment, expert’s evaluation to a weight on frame of discernment as basic probability assignment, and use D-S rule combining to give fusion basic probability assignment m. Finally, t...

متن کامل

Using Fuzzy Cognitive Map for System Control

Fuzzy cognitive map is a powerful modeling tool. It has several desirable properties on control. In this paper, we utilize the feature and the inference mechanism of fuzzy cognitive map, and present a control method, which study combines control theory with fuzzy cognitive map theory. The causal relationship of variables is constructed by online learning or offline learning, the values of contr...

متن کامل

Fuzzy cognitive map based on multi-relationship

In order to overcome the difficulty of cognitive and mining for large-scale multi-relationship system, we take the advantages of intelligent computing of FCM (Fuzzy Cognitive Map) and update the traditional FCM to MRFCM (Multi-Relationship based Fuzzy Cognitive Map) for multi-relationship data mining. The state mining of hyper-node and multi-relationship inference of MRFCM are studied and imple...

متن کامل

Adaptive Control Framework Study Based on Fuzzy Cognitive Map

In this paper, we present an adaptive control framework, which study combines control theory with fuzzy cognitive map theory. The proposed framework utilizes the feature and the inference mechanism of FCM. The causal relationship of variables is constructed by online learning, the values of control variables are given by the inference of FCM model, and the control variables are used to adjust t...

متن کامل

Intelligent modeling with agent-based fuzzy cognitive map

This article presents an agent-based fuzzy cognitive map (ABFCM) developed injecting the concept of multi-agent system (MAS) into the fuzzy cognitive map (FCM). Fuzzy cognitive map is used for qualitative modeling and simulation. Compared to the FCM, the ABFCM enables different inference algorithms in each node enabling simulation of systems with diverse behavior concepts. Each map node can exh...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008