@inproceedings{efb2cc3feb6444698e2c710d315448af,
title = "Fuzzy information axiom based decision model for CAD system selection",
abstract = "Computer-aided design (CAD) and computer-aided manufacturing (CAM) play an important role in substantial productivity for manufacturing companies. However, the combined utilization of CAD and CAM systems decreases the performance of softwares. When CAD and CAM systems are handled separately the related processes are executed in a more flexible way. That being the case, the selection of CAD system among available alternatives can be regarded as a critical decision making problem, since it lead s to not only time and cost effective, but also convenient design processes. In this paper, a fuzzy information axiom based decision making approach is proposed to select the CAD system which provides highest level of satisfaction with respect to the characteristics of design processes of companies. The proposed approach is applied to CAD system selection of a real life mould production system.",
keywords = "Computer Aided Design, Fuzzy set theory, Information axiom",
author = "Emre Cevikcan and Ba{\c s}ar {\"O}ztay{\c s}i",
year = "2011",
doi = "10.1007/978-3-642-25658-5_47",
language = "English",
isbn = "9783642256578",
series = "Advances in Intelligent and Soft Computing",
pages = "381--390",
editor = "Yinglin Wang and Tianrui Li",
booktitle = "Practical Applications of Intelligent Systems",
}