Feasibility of Using Decision Making Expert System with Fuzzy Approach in Retrieval and Selection of Information Resources

Background and Objectives:  The purpose of the study was the possibility of using an expert system decision based on the MCDM techniques to help in the retrieval and selection of resource in IRANDOC. The main problem of the current study was that end-users do not have the same knowledge and experience in familiarizing them with databases and subject-specific skills. Also, users are faced with Persian language problems and errors instructions for retrieval. On the other hand, the large amount of retrieved will cause confusion and waste of time for users. Therefore, the best solution is to use a decision making system. This research attempted to feasibility of using the decision-making expert sub-system in the IRANDOC database. Methodology: In this research was used a descriptive-survey method. To collect data, a researcher-made questionnaire was used in part of the research. In the first stage, scientific literature were reviewed and were identified the criteria for assessing and selecting in IRANDOC. Then expert opinions were received about the identified criteria and were finalized them. In the next step, these criteria were placed in the questionnaire to evaluate them. The questionnaire was sent electronically to PhD students in the field of Knowledge and Information Science in Iran. They were asked to score points from 1 to 9 based on a two-by-one preferential judgment. The number 9 had the highest score and the number 1 had the lowest score. Next, an open interview was conducted with the seniors of IRANDOC database to answer the last sub-question of the research. The researcher called on IRANDOC experts to use the experience of technical experts and to use their ideas and ideas. First, the explanations given on the subject under study. Then they were asked about the possibility of joining the expert sub-system to retrieve with a fuzzy approach on IRANDOC. Finally, the data was analyzed by AHP method & Excel software was used for the calculation, drawing charts and graphs. Findings: It is found that Ranking Criterions Based on AHP method as follows: up to date the Prefer 0.196429, Documentary the Prefer 0.173154, Output status the Prefer 0.1164145 & Value and quality of the Prefer 0.0270342 was respectively in First to fourth Priority Also Specialist database was predicted possible the link decision based on fuzzy MCDM techniques to help in the retrieval and selection of resource information. There are certain criteria for choosing printed sources that are responsible for making decisions based on these criteria. There are some differences in the selection of Internet and digital resources. The easy dissemination of and the large amount of in systems has created a variety and access to for users. IRANDOC also has a web-based system. Many Persian science are available through the Web. Users are confronted with a lot of problems in IRANDOC when they retrieve related to their needs. They need to the intelligent tools that help them retrieve and select the resources. In this research, the criteria were identified and prioritized based on the MCDM fuzzy technique. According to the findings, these criteria were categorized into four categories: the value and quality of resources; the status of the output of resources; the of resources; and the documentation of resources. They were measured and prioritized with AHP technique. The findings showed that the availability of was first priority given the results with a preference of 0.196429. Then documentary with 0.173154 preferences of 0.1164145 and the value and quality of the with 0.0270342 preference were placed in the second, third and fourth priorities, respectively. Discussion:It was concluded that according to the criteria studied, timeliness of resources has a role in data retrieval. Subsequently, the criteria for documenting, the status of output, and then the value and quality of in selecting and retrieving are prioritized. According to the findings of the research, 10 sub criteria were selected for retrieval. These ten criteria include credibility of the resources, the reliability of the resource, the quality of the retrieved, the type of retrieved format, the availability of full text resources, the language of the resources, the type of retrieved (book, article, etc.).The date of publication / release date of resources, resources, of citation reports of resources. In prioritizing these criteria using the AHP technique, the update of ranked first in the source of in the second place and the statistics of citation reports of the of information ranked third. It was concluded that the most important factor in selecting of resource in retrieval is the up-to-date resource. Perhaps the reason for this conclusion is that today has become a fundamental human need. The advancement of human civilization depends on the use of at a convenient time and place. Researchers are trying to access the new and up-to-date of the world and be able to compete with their rivals. They are always looking for the latest resources. Therefore, it is imperative that the databases provide users with the facilities and the best available to users. IRANDOC can use an expert system for retrieve and select resources. To achieve this aim, it should go a long way in to join an expert ideal system.