Soft computing approach to books allocation strategy for library

Junzo Watada, Keisuke Aoki, Takayuki Kawaura

    Research output: Contribution to journalArticle

    Abstract

    A library provides us with books, journals, news papers and so on according to the demand of its users. The selection of books to buy is also done based on the mission of each library. Usually, they purchase books according to their object as a city, an institute, a school, a university, etc. are founded. It is more important to install books which users are requiring. For example, a city has its life cycle. The population of a young city consists of more young generations, so its library should provide books required by young people but an aged city has elder generations. So the library in the aged city has high rate of books required by elder people. Therefore, a library should adjust their selection of books to the demand of users. In this paper we provide a method how to adjust selection of books to the demand of users. The objective of the paper is to propose a method for strategic decision of selecting books. A method is also to deal with latitude in an aspiration level of the decision maker according to their mission. In this method, a librarian and a manager define, for each of expected utility rate and its variance, a necessity level and a sufficient level of users. And then, they can obtain a solution that satisfies an aspiration level of the users. We employ this method to analyze and decide which kind of books and how much rate of the total budget should be spent to buy, where the method of fuzzy mean-variance analysis is employed to solve the problem.

    Original languageEnglish
    Pages (from-to)136-142
    Number of pages7
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3215
    Publication statusPublished - 2004

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    Keywords

    • Budget allocation to book category
    • Fuzzy mean-variance analysis
    • Library strategy
    • Portfolio selection

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

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