TY  - JOUR
T1  - An Algorithm of Intelligent Search Dealing with Uncertainty
AU - , Ashit Kumar Dutta AU - , Sahar Idwan AU - , Ranjit Biswas 
JO  - Asian Journal of Information Technology
VL  - 7
IS  - 6
SP  - 254
EP  - 259
PY  - 2008
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2008.254.259
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2008.254.259
KW  - Vague set
KW  -fuzzy set
KW  -vague number
KW  -Most Expected Object (MEO)
KW  -nlt
AB  - 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.
ER  -