Neuro Fuzzy Information Retrieval

The goal of this book is to let people know about the information retrieval system. It cover the problems in this domain and reviews the solution in current space. It explains how to build the fuzzy inference system in order to score the documents in such a way that most relevant documents will get the higher score against the user's information need. Relevant documents are ranked and then fetched on the basis on these scores. This book provides an overview of fuzzy logic and explains the core concepts underlying fuzzy logic. It also explains the design and implementation strategy of neuro fuzzy inference system for information retrieval by using Adaptive Neuro Fuzzy Inference System (ANFIS) toolbox available in MATLAB. Results and Evaluation are also given at the end for neuro fuzzy inference system and its comparison with the existing techniques for information retrieval.

Autorentext

Asif Nawaz, MS(Software Engineering); He is Research Scholar and affiliated with Data Mining research group of NUST. His research work has been recognized by reputed conferences and journals of Springer and IEEE. His current interests are in Software Architecture, Neural Networks, Optimization and Databases. He is also working in software industry.