Abstract
Fuzzy logic is a technique that provides a mathematical framework to deal with imprecise and uncertain information existing in the real-world decision-making systems. The objective is to integrate linguistic computation in decision making. Several rule-based systems are being developed using the subjective knowledge in the form of fuzzy if-then rules which are also known as ‘Fuzzy Knowledge Base Systems (FKBS)’. In this paper, a new FKBS titled MOBI-CLASS is proposed and implemented using open-access software Guaje. The interpretability and accuracy parameters are studied.
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Chandra, P., Agarwal, D., Shukla, P.K. (2019). MOBI-CLASS: A Fuzzy Knowledge-Based System for Mobile Handset Classification. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_77
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