NDLI: A monotonic fuzzy system for assessing material recyclability

Content Provider	IEEE Xplore Digital Library
Author	Kouikoglou, V.S. Phillis, Y.A.
Copyright Year	2005
Description	Author affiliation: Dept. of Production Eng. & Manage. Crete Tech. Univ. ChaniaDepartment of Production Eng. & Manage., Tech. Univ. of Crete, Chania, Greece (Kouikoglou, V.S.; Phillis, Y.A.)
Abstract	This paper presents a fuzzy inference framework for the assessment of recyclability of materials. Recyclability is defined from a global perspective by aggregating basic indicators which influence the technology and economics of the recycling processes, policies related to recycling, quality of recycled materials, and environmental impact of waste. The resulting fuzzy system is a network of inference stages in which the output of an inference stage is passed to other stages, and so forth. Conditions on the parameters of the fuzzy system are given under which the overall recyclability is an increasing function of the recyclability indicators. A sensitivity analysis with respect to indicators is used to identify the major factors influencing the recycling rate. The model is applied to a number of materials of high economic and industrial importance.
Starting Page	3426
Ending Page	3431
File Size	210742
Page Count	6
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Recycling Environmental economics Economic indicators Waste materials Sensitivity analysis Production engineering Engineering management Industrial economics Protection monotonic fuzzy system
Content Type	Text
Resource Type	Article

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