Modern Applied Science; Vol. 13, No. 11; 2019 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education 76 Fuzzy Logic System for Retrieval of Information in Electronic Libraries Ali Mohammad H. Al-Ibrahim 1 1 Computer Science Department, Faculty of Information Technology, The World Islamic Sciences and Education University (WISE), P.O. Box 1101, Amman 11947, Jordan Correspondence: Ali Mohammad H. Al-Ibrahim, Computer Science Department, Faculty of Information Technology, The World Islamic Sciences and Education University (WISE), P.O. Box 1101, Amman 11947, Jordan, E-mail: ali.alibrahim@wise.edu.jo Received: April 2, 2019 Accepted: October 18, 2019 Online Published: October 22, 2019 doi:10.5539/mas.v13n11p76 URL: https://doi.org/10.5539/mas.v13n11p76 Abstract This research represents one of the steps aimed to address one of the most important challenges on the Web and digital libraries, which is compute the rank of the document’s, and its importance, and their relevance to the user and to meet their needs for information, and so by taking advantage of the vast potential of logic Fuzzy in dealing with this kind of problems, and provide high flexibility for the user to clarify the issues and areas that interested them. This research is concernd on the design and implementation of a proposal for the information retrieval system, called Fuzzy Information Retrieval System(FZIRS). This system is designed to deal with a huge distributed database on a group of computers (servers) associated with the Intranet network specially designed to work the system, which includes different types and sizes of text files. The proposed system has the ability for mining of data mining from the database and retrieve useful information from them and that meet the user's needs well. This accomlished through the applying of the proposed algorithms for indexing operations and calculate the rank of documents and generate keywords operations and display the retrival results, which showed high quality when calculating results compared with other Information retrieving algorithms. Keywords: information retrieval system, fuzzy logic, data mining, distributed database information retrieving algorithms, Fuzzy Information Retrieval System(FZIRS) 1. Introduction Computer plays an important role in the design and construction of modern information systems, to achieve speed, accuracy and confidence and authority to information system, which lead to it high efficiency in performance. It also conducted a complex calculations, which are difficult to implement manually in addition to superior ability to store a huge amount of information in an orderly manner so as to facilitate retrieval very slim times as electronic computer can accomplish all the other tasks carried out by the information system, including the safe investigation and data integrity and full security against loss or damage by beneficiaries. The large development in the number of systems intended for automated libraries of all kinds shows the importance of this technology for libraries and have many of the surveys conducted to the number of automated systems in libraries, especially in the United States. Where the survey was conducted in 1964, which proved that there are 25 system automatically works in libraries in America. In 1971, a survey was conducted last known (Lark Survey) was the census (1366), an automated system for libraries (between integrated systems or parts of systems in the (506) Library.) (Jassim Mohammed & Sabah Mohammed, 2002) In 1984, another survey was conducted, proved that there are about of (30000) thirty thousand special automated system libraries (that most of these systems operate on a personal computer PC), and noted the extent of the figure in 13 years is the time difference between the Lark Survey 1971 and 1984, where the number of automated systems for libraries multiplied by 59 times, and the fact that it was due to two main reasons: