Hybrid Fuzzy Neural Search Retrieval System
نویسندگان
چکیده
Search engines are crucial for information gathering systems (IGS). New challenges face search concerning automatic learning from user requests. In this paper, a new hybrid intelligent system is proposed to enhance the process. Based on Multilayer Fuzzy Inference System (MFIS), first step implement scalable relay logical rules in order produce three classifications behavior, profiles, and query characteristics analysis of navigation log files. These outputs MFIS used as inputs second step, an Adaptive Neuro-Fuzzy (ANFIS). The training process ANFIS replaced by adjusting weights find most relevant result query. This system, called MFIS-ANFIS, implemented experimental system. performance evaluated using quantitative comparative analysis. MFIS-ANFIS aimed be core reliable
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ژورنال
عنوان ژورنال: International Journal of Enterprise Information Systems
سال: 2022
ISSN: ['1548-1123', '1548-1115']
DOI: https://doi.org/10.4018/ijeis.2016070105