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2 edition of use of fuzzy logic in strategic environmental assessment found in the catalog.

use of fuzzy logic in strategic environmental assessment

Olafur Arnason

use of fuzzy logic in strategic environmental assessment

by Olafur Arnason

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  • 40 Currently reading

Published by Oxford Brookes University in [Oxford] .
Written in English


Edition Notes

StatementOlafur Arnason.
ContributionsOxford Brookes University. School of Planning., Oxford Brookes University. School of Biological and Molecular Sciences.
ID Numbers
Open LibraryOL21144664M

Mofarrah, A., Tahir Husain, Kelly Hawboldt (), Multi-criteria decision analysis with Fuzzy probabilistic risk assessment for produced water management, CSCE Annual General Conference St. John’s, Newfoundland and Labrador / St. John’s, May , GC, pp, In this paper, under the guidance of the pressure - state - response (Pressure-State-Response, PSR), the mining area's environmental system safety assessment index model was constructed, and using the fuzzy control theory, a comprehensive assessment model was constructed based on fuzzy logic, and the model have been verified by a coal mining area.

@article{osti_, title = {Fuzzy decision analysis in the development of centralized regional energy control systems}, author = {Murakami, S. and Maeda, M.}, abstractNote = {In this paper, the authors develop a methodology to analyze decision problems which contain fuzziness, taking into account the decision maker's judgement on subjective probabilities and subjective weights . The present review examines decision-making methods developed for dealing with uncertainties and applied to solve problems of civil engineering. Several methodological difficulties emerging from uncertainty quantification in decision-making are identified. The review is focused on formal methods of multiple criteria decision-making (MCDM). Handling of uncertainty by means of Cited by:

environmental performance of the organization's environmental performance criteria. The Balanced ScoreCard (BSC) is a comprehensive framework forthe leaders whose vision and strategy through a coordinated organized power the indicator system is broken Size: 4MB. This article presents a risk assessment methodology for conducting systematic risk assessment using fuzzy reasoning approach and fuzzy analytical hierarchy decision-making process. In this method, qualitative descriptors are employed to describe frequency of occurrence, consequence severity, weight factor, and risk by:


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Use of fuzzy logic in strategic environmental assessment by Olafur Arnason Download PDF EPUB FB2

Fuzzy Logic Possibility Distribution Fuzzy Partition Strategic Environmental Assessment Gradual Rule These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm by: 7.

Strategic environmental Assessment (SEA) is a decision support instrument for predicting and evaluating the likely environmental effects of implementing a policy, plan or : Mark Everard. Fuzzy engineering is an industry term which generally refers to the design of a product that benefits from fuzzy logic.

Fuzzy logic contracts with traditional digital logic in that it utilizes a. Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.

By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Approaches based on Fuzzy Logic have been proposed in the literature (e.g., [17] [20]) to represent the expert knowledge and manipulate it in a model of component degradation for optimizing the.

Introduction. Strategic environmental assessment (SEA) is argued to provide a sound basis for informed decision making toward sustainability (see Partidario and Clark,Tetlow and Hanusch, ).Presumably, SEA helps ensure that policies, plans and programs (PPPs) are developed in a more environmentally sensitive way; that environmental impacts are taken into Cited by: Impact Assessment Environmental Impact Assessment Impact Evaluation Strategic Environmental Assessment Public Input These keywords were added by machine and not by the authors.

This process is experimental and the keywords may. Modeling imprecise factors in environmental policy}, author = {McKone, Thomas E and Deshpande, Ashok W}, abstractNote = {In modeling complex environmental problems, we often fail to make precise statements about inputs and outcome. In this case the fuzzy logic method native to the human mind provides a useful way to get at these problems.

Description. For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic. The first book of its kind, this text explains how all kinds of uncertainties can be handled within the framework of a common theory and set of design tools—fuzzy logic systems—by moving the original fuzzy logic to the next level—type-2 fuzzy : Paper.

Environmental assessment (EA) is the assessment of the environmental consequences (positive negative) of a plan, policy, program, or actual projects prior to the decision to move forward with the proposed action. In this context, the term "environmental impact assessment" (EIA) is usually used when applied to actual projects by individuals or companies and the term "strategic.

The second category exploits the fuzzy logic method to inference the environmental impacts or significances. In general, the simpler methods for impact identification are easier to use, more reliable and more effective in presenting information in the EIS, but their coverage of impact significance, indirect impacts or alternatives is very by: 3.

Environmental risks are increasingly considered as a part of strategic control assessment. Checklists and case studies are presented to assist in review and assessment of environmental risks.

Further guidance is offered for decision making under uncertainty, showing the potential of tools such as Monte Carlo analysis and fuzzy logic, and Cited by: Logic models help us plan, implement, evaluate, and communicate more effectively. Many funders and organizations require logic models.

This guide provides activities with handouts, slides, and other resources for facilitators to use in helping individuals and groups create and use. A fuzzy inference system (FIS) is a reasoning process in which systematical formulation of input/output mappings are handled by using fuzzy logic.

In order to handle to uncertainty that is due to insufficient expertise, knowledge, and/or time on a system, fuzzy inference system provides a good way of aggregation of the data for decision makers Author: Ali Karasan, Ali Karasan, Eda Bolturk, Cengiz Kahraman.

Findings: Based on authors’ knowledge there is a lack of the fuzzy logic applications, adaptive neuro-fuzzy models, linear and dynamic programming, as well as heuristic and metaheuristic models related to HRA.

In most of the papers, the classical methods of strategic management have been used for : Dragan Pamucar, Nikola Knežević, Dragana Macura, Boban Đorović. the need for research on a model that allows using Fuzzy Logic to help make decisions on certain aspects of the social, economic or environmental impacts of a project and it is a simple tool to use for non-specialists.

Thus, we propose a mathematical model that allows assessment of the social, economic and environmental sustainability of a project.

This study employs fuzzy logic to evaluate uncertain component end-of-life (EOL) options in the design stage. Determining EOL strategies during the product design stage can be complex.

For example, EOL strategies for retired bicycle components are various and may change with geographic location. Thus, adopting fixed EOL strategies in the product design stage may not Cited by: 8. The use of fuzzy logic to study the influence and the consequences of environmental problems has increased significantly in recent years.

of the potential of this technique for the transfer of expert knowledge in a qualitative sphere into a formal system of environmental assessment.

We think that this approach can and should be used as an Cited by: 6. Description. Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of Availability: Available.

Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms are being adopted in energy modeling to precisely map the energy systems. In this paper, an attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid by:.

Strategic Environmental Assessment (SEA) is a process used for the evaluation of environmental impacts at a higher level of decision-making than that of each individual project, i.e., during the preparation and implementation of policies, programs, and plans, with the objective of incorporating the aspect of sustainable development in the early stages of planning.Key Terms in this Chapter.

Green: The Green SCM has emerged as an organizational philosophy by which to achieve corporate profit and market-share objectives by reducing environmental risks and impacts while improving the ecological efficiency of such organizations and their partners.

Fuzzy Logic: Branch of logic especially well suited to tackle problems defined in uncertain and Author: Paulo Fazendeiro, Susana G. Azevedo, V. Cruz-Machado.The proposed risk assessment model, using fuzzy logic conclusions and min–max composition, was used on a mobile crushing machine. The results indicated that the risk level of the mobile crushing machine was in the “high” category, which means that it is necessary to introduce maintenance policies based on this high risk.