Fuzzy Cognitive Maps and Intelligent Decision Support
نویسندگان
چکیده
Cognitive maps have been utilised in decision analysis in the past. More recently fuzzy cognitive maps (FCMs) have been proposed as an alternative to knowledge-based expert systems for representing and analysing complex systems. Increasing interest in adaptive systems, in the form of artificial neural networks, has also focussed attention on FCMs. This paper presents an overview of the evolution of this relatively new tool in decision analysis. A brief account of the structure, operation and use of FCMs are given with examples of some recent work done in the field. The advantage of FCM-based systems in terms of their relative ease of development, dynamic nature and adaptive potential are highlighted.
منابع مشابه
Medical Decision Making through Fuzzy Computational Intelligent Approaches
A new approach for the construction of Fuzzy Cognitive Maps augmented by knowledge through fuzzy rule-extraction methods for medical decision making is investigated. This new approach develops an augmented Fuzzy Cognitive Mapping based Decision Support System combining knowledge from experts and knowledge from data in the form of fuzzy rules generated from rule-based knowledge discovery methods...
متن کاملA Novel Approach on Designing Augmented Fuzzy Cognitive Maps Using Fuzzified Decision Trees
This paper proposes a new methodology for designing Fuzzy Cognitive Maps using crisp decision trees that have been fuzzified. Fuzzy cognitive map is a knowledge-based technique that works as an artificial cognitive network inheriting the main aspects of cognitive maps and artificial neural networks. Decision trees, in the other hand, are well known intelligent techniques that extract rules from...
متن کاملZ-Cognitive Map: An Integrated Cognitive Maps and Z-Numbers Approach under Cognitive Information
Usually, in real-world engineering problems, there are different types of uncertainties about the studied variables, which can be due to the specific variables under investigation or interaction between them. Fuzzy cognitive maps, which addresses the cause-effect relation between variables, is one of the most common models for better understanding of the problems, especially when the quantitati...
متن کاملAugmented Fuzzy Cognitive Maps Supplemented with Case Based Reasoning for Advanced Medical Decision Support
Fuzzy Cognitive Maps (FCMs) have been used to design Decision Support Systems and particularly for medical informatics to develop Intelligent Diagnosis Systems. Even though they have been successfully used in many dif ferent areas, there are situations where incomplete and vague input information may present difficulty in reaching a decision. In this chapter the idea of using the Case Based Re...
متن کاملFuzzy Cognitive Maps for Decision Support in an Intelligent Intrusion Detection System
The "health" of a computer network needs to be assessed and protected in much the same manner as the health of a person. The task of an intrusion detection system is to protect a computer system by detecting and diagnosing attempted breaches of the integrity of the system. A robust intrusion detection system for a computer network will necessarily use multiple sensors, each providing different ...
متن کاملMedical Decision Support Systems based on Soft Computing techniques
Medical Decision Support Systems (MDSS) are very important constructions that are incorporated into Intelligent Information E-Health Systems aiming to produce warnings or to consult and suggest clinical judgments either to inexperienced medical professionals or in their lighter versions to the general public through medical advisors websites. Soft Computing (SC) techniques, especially those tha...
متن کامل