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Multicriteria Evaluation in a Fuzzy Environment (Contributions to Economics)
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eBay-Artikelnr.:397248546990
Artikelmerkmale
- Artikelzustand
- subject_code
- KCA
- target_audience
- College/University
- is_adult_product
- false
- edition_number
- 1
- binding
- paperback
- edition
- Softcover reprint of the original 1st ed. 1995
- MPN
- 13 black & white tables, biography
- batteries_required
- false
- manufacturer
- Springer
- Brand
- Springer
- series_title
- Contributions to Economics
- number_of_items
- 1
- pages
- 272
- genre
- Environmental economics
- part_number
- 13 black & white tables, biography
- publication_date
- 1995-11-17T00:00:01Z
- unspsc_code
- 55101500
- batteries_included
- false
- ISBN
- 9783790808926
Über dieses Produkt
Product Identifiers
Publisher
Physica-Verlag
ISBN-10
379080892X
ISBN-13
9783790808926
eBay Product ID (ePID)
3038415807
Product Key Features
Number of Pages
Xiv, 255 Pages
Publication Name
Multicriteria Evaluation in a Fuzzy Environment : Theory and Applications in Ecological Economics
Language
English
Subject
Environmental Economics, System Theory, Econometrics
Publication Year
1995
Type
Textbook
Subject Area
Science, Business & Economics
Series
Contributions to Economics Ser.
Format
Trade Paperback
Dimensions
Item Weight
18.4 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
1 Environmental Issues and Evaluation Methods.- 1.1 Environmental Problems.- 1.2 Scope and Aim of this Study.- 1.3 Multicriteria Evaluation in Environmental Management.- 1.4 Qualitative Information in Environmental Evaluation Models.- 1.5 Structure of the Book.- Measurement Scales.- A Theoretical Analysis of Cost-Benefit Analysis and Multicriteria Evaluation.- 2 from Environmental Economics to Ecological Economics.- 3 Cost-Benefit Analysis.- 4 Multiple Criteria Evaluation Methods.- B Multicriteria Evaluation in a Fuzzy Environment.- 5 Fuzzy Uncertainty in Decision Models.- 6 Comparison of Fuzzy Sets: a New Semantic Distance.- 7 Multicriteria Evaluation in a Fuzzy environment: the Naïade Method.- 8 A Fuzzy Cluster Procedure for Environmental Conflict Analysis.- 9 Sensitivity Analysis in the NAIADE Method.- C Application to A Real-World Environmental Management Problem.- 10 the River Po Basin Environmental Policy. Background Information and Analytical Framework.- 11 the Po Delta Natural Park: the "Boscone Della Mesola" Environmental Management Problem.- 12 Conclusions: Retrospect and Prospect.- References and Bibliography.
Synopsis
This book is the result of some years of research carried out at the Vrije Universiteit of Amsterdam and at the Joint Research Centre of the European Commission. The awareness of actual and potential conflicts between economic progress in production, consumption, and technology and the environment has led to the concept of "sustainable development", implying that economic and ecological values are well balanced in evaluation and decision making. The linkages between ecosystems and economic systems are the focus of ecological economics. In ecological economics, a multidimensional approach to economic and policy-making is emphasised. In this book, the introduction of multicriteria decision aid techniques in the framework of ecological economics is widely discussed. Since such techniques are based on a "constructive" rationality and allow one to take into account conflictual, multidimensional, incommensurable and uncertain effects of decisions, they can be considered perfectly consistent with the methodological foundations of ecological economics. Since here the assumption is accepted that efficiency, equity and sustainability are the three conflictual values of economics, a mathematical procedure able to deal with these issues in an operational framework is developed, with a particular view on imprecise information in a practical environmental planning context. Given the problem of the differences in the measurement levels of the variables used for economic-ecological modelling, multicriteria methods able to deal with mixed information (both qualitative and quantitative measurements) can be considered particularly useful. Another problem related to the available information concerns the uncertainty (stochastic and/or fuzzy) contained in this information.
LC Classification Number
HC79.E5
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