Fuzzy Expert Systems and Fuzzy Reasoning

Siler, William; Buckley, James J.

doi:10.1002/0471698504

Cited by 221 publications

(169 citation statements)

References 0 publications

Supporting

Mentioning

163

Contrasting

Unclassified

Order By: Relevance

“…[20]. In cases in which the membership function is single, the weighted mean method is preferred as it is less complex and easier to calculate in comparison to other methods [26]. It is calculated according to the following equation:…”

Section: Fuzzy Inference Enginementioning

confidence: 99%

Failure Prediction of Cross-Ply Laminated Double-Serial Mechanically Fastened Composites using Fuzzy Expert System

Ballı¹,

Şen²

2015

SV-JME

View full text Add to dashboard Cite

Highlights• Predicting failure loads for mechanically fastened composite plates using fuzzy expert system and regression analysis.• Using composite material manufactured in both a fibre reinforced manner and with glass fibres.• Creating a expert system model for prediction by applying fuzzy rules and fuzzy membership functions.• Determination of more appropriate method for modelling and predicting of failure loads.

show abstract

Section: Fuzzy Inference Enginementioning

confidence: 99%

Failure Prediction of Cross-Ply Laminated Double-Serial Mechanically Fastened Composites using Fuzzy Expert System

Ballı¹,

Şen²

2015

SV-JME

View full text Add to dashboard Cite

show abstract

“…Fuzzy set theory [1] is the oldest and most widely reported component of present-day soft computing (or computational intelligence), which deals with the design of flexible information processing systems [2], with applications in control systems [3], decision making [4], expert systems [5] etc. The significance of fuzzy set theory in the realm of pattern recognition was justified in [2].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Rule-Based Hand Gesture Recognition

Bedregal

Costa

Dimuro

IFIP International Federation for Information Processing

View full text Add to dashboard Cite

Abstract. This paper introduces a fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of some sample hand gestures of LIBRAS, the Brazilian Sign Language. The method uses the set of angles of finger joints for the classification of hand configurations, and classifications of segments of hand gestures for recognizing gestures. The segmentation of gestures is based on the concept of monotonic gesture segment, sequences of hand configurations in which the variations of the angles of the finger joints have the same sign (non-increasing or non-decreasing). Each gesture is characterized by its list of monotonic segments. The set of all lists of segments of a given set of gestures determine a set of finite automata, which are able to recognize every such gesture.

show abstract

“…Such system could be one of the Artificial Intelligence methods like fuzzy expert system which uses predefined membership functions for fuzzy features and fuzzy inference ru les to map nu meric data into linguistic variable terms and to make fuzzy decisions [4,5].…”

Section: Introductionmentioning

confidence: 99%

Bank Customer Credit Scoring by Using Fuzzy Expert System

Bazmara¹,

Donighi²

2014

IJISA

View full text Add to dashboard Cite

Abstract-Granting banking facility is one of the most important parts of the financial supplies for each bank. So this activity becomes more valuable economically and always has a degree of risk. These days several various developed Artificial Intelligent systems like Neural Network, Decision Tree, Logistic Regression Analysis, Linear Discriminant Analysis and etc, are used in the field of granting facilities that each of this system owns its advantages and disadvantages. But still studying and working are needed to improve the accuracy and performance of them. In this article among other AI methods, fuzzy expert system is selected. This system is based on data and also extracts rules by using data. Therefore the dependency to experts is omitted and interpretability of rules is obtained. Validity of these rules could be confirmed or rejected by banking affair experts.For investigating the performance of proposed system, this system and some other methods were performed on various datasets. Results show that the proposed algorithm obtained better performance among the others.

show abstract

Fuzzy Expert Systems and Fuzzy Reasoning

Cited by 221 publications

References 0 publications

Failure Prediction of Cross-Ply Laminated Double-Serial Mechanically Fastened Composites using Fuzzy Expert System

Failure Prediction of Cross-Ply Laminated Double-Serial Mechanically Fastened Composites using Fuzzy Expert System

Fuzzy Rule-Based Hand Gesture Recognition

Bank Customer Credit Scoring by Using Fuzzy Expert System

Contact Info

Product

Resources

About