Literature DB >> 12402097

Fuzzy multiple-criteria decision-making approach for industrial green engineering.

Hua-kai Chiou1, Gwo-hshiung Tzeng.   

Abstract

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a nonadditive fuzzy integral technique to evaluate a green engineering industry case as a fuzzy multicriteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as economic effectiveness, technical feasibility, and environmental regulation, it can be regarded as an FMCDM problem. Since stakeholders cannot clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives/strategies, fuzziness is considered to be applicable. Consequently, this paper uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic utility values, we can determine the relative importance of criteria and decide the best strategies. This paper applies what is called a lambda fuzzy measure and nonadditive fuzzy integral technique to evaluate the synthetic performance of green engineering strategies for aquatic products processors in Taiwan. In addition, we demonstrate that the nonadditive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.

Mesh:

Year:  2002        PMID: 12402097     DOI: 10.1007/s00267-002-2673-z

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  2 in total

1.  A hierarchical fuzzy decision support system for the environmental rehabilitation of Lake Koronia, Greece.

Authors:  Panagiotis Tzionas; Irene A Ioannidou; Stephanos Paraskevopoulos
Journal:  Environ Manage       Date:  2004-08       Impact factor: 3.266

2.  Importance-performance analysis of municipal solid waste management in uncertainty.

Authors:  Ming-Lang Tseng
Journal:  Environ Monit Assess       Date:  2010-02-06       Impact factor: 2.513

  2 in total

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