Fuzzy comprehensive assessment, fuzzy clustering analysis and its application for urban traffic environment quality evaluation

Tao, Yang; Yang, Xinmiao

doi:10.1016/s1361-9209(97)00021-7

“…The following procedure describes fuzzy comprehensive assessment (Yeh, 1975;Yager, 1977;Wang Peizhuang, 1983;Lao Situan, 1990;Ye Wenhu and Luan Shengji, 1994;Lu Xueqiang, 1995;Sun Ren, 1998;Yang Tao and Yang Xinmiao, 1998;Liu Kanglan and Yuan Hao, 2000).…”

Section: Assessment Methods and Proceduresmentioning

confidence: 99%

“…2. Establish membership functions of each assessment parameter to assessment criteria at each level Membership degree of each assessment parameter to assessment criteria at each level can be described quantitatively by a set of formulae of membership functions as follows (derived from Ye Wenhu and Luan Shengji, 1994;Yang Tao and Yang Xinmiao, 1998):…”

Section: Assessment Methods and Proceduresmentioning

confidence: 99%

Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China

Wang

¹

2002

Journal of Environmental Management

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“…Simple fuzzy classification, fuzzy similarity method and fuzzy comprehensive assessment, are all subtitles of fuzzy synthetic evaluation and have been used recently by a number of researchers in various environmental areas (Sadiq and Rodriguez, 2004;Lu et al, 1999;Chang et al, 2001;Lu and Lo, 2002;Tao and Xinmiao, 1998). Fuzzy synthetic evaluation methods process all the components according to predetermined weights and decrease the fuzziness by using membership functions therefore sensitivity is quite high compared to other index evaluation techniques.…”

Section: Fuzzy Setsmentioning

confidence: 99%

Communicating human health risks associated with disinfection by-products in drinking water supplies: a fuzzy-based approach

Sadiq

¹

,

Rodriguez

²

,

Imran³

et al. 2006

Stoch Environ Res Risk Assess

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1007/s00477-006-0069-y Stochastic Environmental Research and Risk Assessment, 21, 4, pp. 341-353, 2007-04-01 Communicating human health risks associated with disinfection byproducts in drinking water supplies: a fuzzy-based approach Sadiq, R.; Rodriguez, M.; Imran, S. A.; Najjaran, H. Abstract: Chlorine used for the disinfection of water supplies can react with naturally occurring organic compounds and form potentially harmful disinfection byproducts (DBPs). A risk index for two regulated groups of chlorinated DBPs -trihalomethanes (THMs) and haloacetic acids (HAAs), using fuzzy C-means (FCM) clustering algorithm and fuzzy rule-based modeling is proposed for risk communication. The proposed index evaluates the cancer and non-cancer risks individually for THMs and HAAs using the FCM algorithm. Subsequently, two different fuzzy rule-bases were used to evaluate the overall risk-index based on cancer and non-cancer risks.The overall risk-index will provide drinking water utilities with an effective communication tool for communicating aggregated water quality compliance. Simulated DBP occurrence data obtained from the City of Quebec, Canada is used to demonstrate the application of this methodology.

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“…Recently, a large number of applications in developing environmental indices has been reported in the literature where advanced assessment methods such as fuzzy synthetic evaluation are being employed. Simple fuzzy classification, fuzzy similarity method and fuzzy comprehensive assessment, are all subsets of fuzzy synthetic evaluation, which have been recently used in various environmental applications (Sadiq et al 2006;Sadiq and Rodriguez 2004;Lu and Lo 2002;Chang et al 2001;Lu et al 1999;Tao and Xinmiao 1998).…”

Section: Introductionmentioning

confidence: 99%

Probability density functions based weights for ordered weighted averaging (OWA) operators: An example of water quality indices

Sadiq

¹

,

Tesfamariam

²

2007

European Journal of Operational Research

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1016/j.ejor. 2006.09.041 European Journal of Operational Research, 182, 3, pp. 1350-1368, 2007 Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices Sadiq, R.; Tesfamariam, S.http://irc.nrc-cnrc.gc.ca Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices NRCC-48680Sadiq, R.; Tesfamariam, S.A version of this document is published in / Une version de ce document se trouve dans: European Journal of Operational Research, v. 182, no. 3, Nov. 2007, pp. 1350-1368 Doi: 10.1016/j.ejor.2006 The material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission. For more information visit http://laws.justice.gc.ca/en/showtdm/cs/C-42Les renseignements dans ce document sont protégés par la Loi sur le droit d'auteur, par les lois, les politiques et les règlements du Canada et des accords internationaux. Ces dispositions permettent d'identifier la source de l'information et, dans certains cas, d'interdire la copie de documents sans permission écrite. Pour obtenir de plus amples renseignements : http://lois.justice.gc.ca/fr/showtdm/cs/C-42 ABSTRACTThis paper explores the application of ordered weighted averaging (OWA) operators to develop water quality index, which incorporates an attitudinal dimension in the aggregation process. The major thrust behind selecting the OWA operator for aggregation of multi-criteria decision-making is its capability to encompass a range of operators bounded between minimum and maximum. A new approach for generating OWA weight distributions using probability density functions (PDFs) is proposed in this paper. The basic parameters (mean and standard deviation) of the probability density functions can be determined using the number of criteria (e.g. water quality indicators) in the aggregation process.The proposed approach is demonstrated using data provided in a study by Swamee and Tyagi (2000) for establishing water quality indices. The Normal distribution and its inverse form were fo...

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Fuzzy comprehensive assessment, fuzzy clustering analysis and its application for urban traffic environment quality evaluation

Cited by 45 publications

References 2 publications

Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China

Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China

Communicating human health risks associated with disinfection by-products in drinking water supplies: a fuzzy-based approach

Probability density functions based weights for ordered weighted averaging (OWA) operators: An example of water quality indices

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