ZORFIS FOR IR ZONAL RANKED FUZZY INFERENCE SYSTEM FOR INFORMATION RETRIEVAL.PDF

dc.contributor.author	KHAN, MUHAMMAD ASIF NAWAZ
dc.date.accessioned	2023-08-23T06:16:55Z
dc.date.available	2023-08-23T06:16:55Z
dc.date.issued	2010
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/37199
dc.description	Supervisor: DR. AASIA KHANAM	en_US
dc.description.abstract	A novel approach to informational retrieval from document collections is presented. The approach strikes a balance between Boolean models and vector models of information by employing fuzzy for determining similarity between user query and the searched document. The fuzzy approach is ideally suited for the ranking of documents and enhancing exact match based search with synonym based search. Experimental results show that the fuzzy inference system for in-formation retrieval is the best system to enhance the retrieval performance both in terms of precision and recall rates	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical & Mechanical Engineering (CEME), NUST	en_US
dc.title	ZORFIS FOR IR ZONAL RANKED FUZZY INFERENCE SYSTEM FOR INFORMATION RETRIEVAL.PDF	en_US
dc.type	Thesis	en_US