Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation

Evaluating the Fuzzy and classical search engines' performance in Persian information retrieval to determine the false drop rate and select the best in retrieving the lowest duplicate records. In this applied research, the semi-experimental, evaluative and comparative methods are adopted. Research samples are selected according to purposeful sampling, based on the popularity of search engines. The data collection tool is a researcher-devised checklist with 20 questions. It is revealed that Google out performs Yahoo and Bing in both the fuzzy and classical evaluations. The obtained precision ratio of the fuzzy evaluation of search engines is greater than of the classical evaluation. In both evaluations, Google, Yahoo and Bing have the lowest rate of false drop, respectively. In the fuzzy evaluation, this false drop ratio is less than of the classical evaluation. Google has the lowest and Yahoo has the highest duplicate records' count. The obtained findings from the fuzzy and classical evaluation reveal that Fuzzy evaluation increases the precision rate and reduces false drop in search engines. Moreover the Fuzzy evaluation provides a more accurate and realistic precision and false drop rate by introducing a spectrum of relevance rate of retrieved records. It is recommended that researchers apply fuzzy evaluation when evaluating the search engines' performance. In general, Google has better performance than Bing and Yahoo based on three measured criteria. Consequently, users are advised to apply this search engine when searching for Persian information on the web to save time and money.