Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
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.
How to cite this article:
B. Arthi and A. Grace Selvarani. Learning Conventional Fuzzy Technique for Evaluating Software Attempts.
DOI: https://doi.org/10.36478/ajit.2016.3306.3310
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.3306.3310