TY  - JOUR
T1  - Learning Conventional Fuzzy Technique for Evaluating Software Attempts
AU - Arthi, B. AU - Selvarani, A. Grace 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 17
SP  - 3306
EP  - 3310
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3306.3310
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3306.3310
KW  - Software cost evaluation
KW  -performance
KW  -statistical information
KW  -fuzzy technique and artifacts
KW  -established
AB  - The software cost evaluation with rich consistency, efficiency and improvement attempts is a major difficult task and this driven the software field to push and investigate research in evaluating software attempts for developing complex techniques. The evaluation based on assumptions is a technique to measure the software attempts. Moreover, the technique is employed for evaluating the software by assumptions and it cannot hold the statistical information in accurate and clear manner. A fresh technique is been proposed for evaluating the software attempts for artifacts characterized by the statistical or analytical information based on explanation by assumptions and fuzzy based methods. The established datasets inspected with fuzzy based datasets produces exact results to the datasets studied with traditional techniques.
ER  -