@article{MAKHILLAJIT2008765540,
    title = {An Algorithm of Intelligent Search Dealing with Uncertainty},
    journal = {Asian Journal of Information Technology},
    volume = {7},
    number = {6},
    pages = {254-259},
    year = {2008},
    issn = {1682-3915},
    doi = {ajit.2008.254.259},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2008.254.259},
    author = {Ashit Kumar Dutta,Sahar Idwan and},
    keywords = {Vague set,fuzzy set,vague number,Most Expected Object (MEO),nlt},
    abstract = {In this study, the authors propose an algorithm of intelligent search using vague theory of Gau and Buehrer. The objective of such research is to deal with the imprecise data involved in different kinds of existing searching techniques in a more efficient ways and thus to suggest a new improved version of searching technique under uncertainty which will be helpful in many real life problems of computer science, specially in AI, in Data Mining, in fuzzy DBMS, etc. to list a few only.}
    }