Document Type : Original Article
Authors
1 Student MSc of Knowledge and Information Science, University of Isfahan, Isfahan, Iran
2 Corresponding author, PhD, Department of Knowledge and Information Science, University of Isfahan and School of Business Informatics, Corvinus University of Budapest, Hungary
Abstract
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 information 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 information retrieval. On the other hand, the large amount of information 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 information resources 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 information resources 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 resources 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 information sources that are responsible for making decisions based on these criteria. There are some differences in the selection of Internet and digital information resources. The easy dissemination of information and the large amount of information resources in information systems has created a variety and access to information for users. IRANDOC also has a web-based information system. Many Persian science information resources are available through the Web. Users are confronted with a lot of problems in IRANDOC when they retrieve information resources related to their information needs. They need to the intelligent tools that help them retrieve and select the information 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 information resources; the status of the output of information resources; the timeliness of information resources; and the documentation of information resources. They were measured and prioritized with AHP technique. The findings showed that the availability of information resources was first priority given the results with a preference of 0.196429. Then documentary information resources with 0.173154 preferences of 0.1164145 and the value and quality of the information source 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 information resources" has a role in data retrieval. Subsequently, the criteria for documenting, the status of output, and then the value and quality of information resources in selecting and retrieving information resources are prioritized. According to the findings of the research, 10 sub criteria were selected for information retrieval. These ten criteria include credibility of the information resources, the reliability of the information resource, the quality of the information retrieved, the type of retrieved information format, the availability of full text information resources, the language of the information resources, the type of information retrieved (book, article, etc.).The date of publication / release date of information resources, information resources, statistics of citation reports of information resources. In prioritizing these criteria using the AHP technique, the "update of information source" ranked first in the "source of information source" in the second place and the "statistics of citation reports of the source of information" ranked third. It was concluded that the most important factor in selecting of information resource in information retrieval is the up-to-date resource. Perhaps the reason for this conclusion is that today information has become a fundamental human need. The advancement of human civilization depends on the use of information at a convenient time and place. Researchers are trying to access the new and up-to-date information of the world and be able to compete with their rivals. They are always looking for the latest information resources. Therefore, it is imperative that the databases provide users with the facilities and the best resources available to users. IRANDOC can use an expert system for retrieve and select information resources. To achieve this aim, it should go a long way in to join an expert ideal system.
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