NDLI: Fuzzy Synthetic Evaluation of Water Quality with Membership Functions Constructed by Linear Interpolation

Content Provider	IEEE Xplore Digital Library
Author	Jun Yin Zening Wu
Copyright Year	2008
Description	Author affiliation: Sch. of Water Conservancy & Environ. Eng., Zhengzhou Univ., Zhengzhou (Jun Yin; Zening Wu)
Abstract	By analyzing traditional membership functions for fuzzy synthetic evaluation of water quality, some problems emerged: difficulties in determining parameters in traditional membership functions and insufficient samples for constructing proper membership functions. To solve these problems, more information was obtained by analyzing the shapes of traditional membership functions and the physical meaning of boundaries in water quality standard, and linear interpolation algorithm was applied to expand the sample size when considering the similar application for artificial neural network (ANN) evaluation of water quality. Finally, membership functions were constructed and a new method for evaluation water quality based on fuzzy synthetic evaluation was proposed. Comparisons between different evaluation methods show that the proposed method, grey relation analysis (GRA), and ANN are similar to each other, especially between GRA and the proposed method. These relations would be ascribed to fundamental assumptions of each method. For these similarities, the proposed method seems appropriate for evaluating water quality. The method may also provide some hints for other synthetic evaluation with similar problems concerning boundaries or inadequate sample size.
Starting Page	595
Ending Page	599
File Size	220508
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Shape water quality evaluation Artificial neural networks Water conservation fuzzy synthetic evaluation membership function Information analysis linear interpolation Fuzzy logic Interpolation Fuzzy sets Fuzzy neural networks Fuzzy systems
Content Type	Text
Resource Type	Article

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