NDLI: Analysis on fuzzy risk of water resources - a case study of Jinhua City

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2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012)

The 5th International Conference on New Trends in Information Science and Service Science

4th International Conference on New Trends in Information Science and Service Science

Table of contents

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Analysis on fuzzy risk of water resources - a case study of Jinhua City

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2009 International Conference on New Trends in Information and Service Science

Analysis on fuzzy risk of water resources - a case study of Jinhua City

Content Provider	IEEE Xplore Digital Library
Author	Feng, L.H. Sang, G.S.
Copyright Year	2010
Description	Author affiliation: Department of Geography, Zhejiang Normal University, No. 688 Yingbin Road, Jinhua 321004, China (Feng, L.H.; Sang, G.S.)
Abstract	Jinhua city suffers from uneven precipitation, river water pollution and a lack of water storage projects. The problem of water shortages is becoming increasingly severe. We can obtain a conservative risk value, a venture risk value and a maximum probability risk value. Under such an a level, three risk values can be calculated. As a adopts all values throughout the set [0, 1], it is possible to obtain a series of risk values. Therefore, the fuzzy risk can be a multi-valued risk or set-valued risk. Calculation of the fuzzy expected value of Jinhua city's water resource risk has been performed based on the interior-outer set model. Selection of an a value depends on the confidence in different groups of people.
Starting Page	476
Ending Page	480
File Size	671559
Page Count	5
File Format	PDF
ISBN	9781424469826
e-ISBN	9788988678176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Geography fuzzy risk Uncertainty Water conservation Rivers Risk analysis Fuzzy sets Water storage water resources Cities and towns fuzzy expected value Water pollution Water resources
Content Type	Text
Resource Type	Article

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