Skip to main content

Cleaner Production Evaluation Method-Fuzzy Math Method

  • Conference paper
Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

Abstract

Fuzzy evaluation model is the comprehensive evaluation method and quantitative analysis and which based on the “maximum membership degree evaluation”. Due to the cleaner production of multiple attribute and evaluation factors, and with more than stratified random and fuzzy mathematics, this article puts forward a fuzzy evaluation to determine the key audit is practical and necessary. This paper describes the evaluation method of cleaner production simply, focusing on the principle, content and evaluation mode of fuzzy mathematics method for the evaluation of clean production agitation. The fuzzy mathematics evaluation method for clean production can be used to assess all aspects of clean production before and after the business at present, and identify cleaner production opportunities, identify weaknesses and so on. All the factors which affecting the quality of cleaner production can be evaluated comprehensively and accurately. It also can be able to change the multi-factor problems (which are complicated, not enough to determine) into a data model based on simple evaluation. This assessment model has been used in food industry of clean production, and achieved good results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. UNEP Cleaner production assessment (2000)

    Google Scholar 

  2. Jinmin, G.J., Long, Z.X.: Summary of domestic and clean production evaluation. Shanxi Environment (3) (2003)

    Google Scholar 

  3. Grutter, J.M.: Hans-Peter Egler From cleaner production to sustainable industrial production mo (2004)

    Google Scholar 

  4. Chen, P.: Cleaner Production Evaluation 2004. Environmental Protection of Chemical Industry (1) (2004)

    Google Scholar 

  5. Ping, Z., Clean, D.C.: Production evaluation in the Index System. Clean production evaluation in the Index System (1) (2004)

    Google Scholar 

  6. Li., H., Jiang, M., Mei, L.Y., Min, J.: AHP- Fuzzy Comprehensive Evaluation Analysis and Research-China Safety. Science Journal (7) (2004)

    Google Scholar 

  7. Shoulan, W., Shaohua, W., Qian, J.: Clean production evaluation Method-Clean production evaluation. Journal of Beijing University of Technology (1) (2005)

    Google Scholar 

  8. Yang, Y., Gang, D.: Enterprise Flexibility and index system and AHP-fuzzy comprehensive evaluation method. Gansu Science and Technology (4) (2004)

    Google Scholar 

  9. Hong, G., Quan, W.J., Yong, M., Yan, W.: Fuzzy comprehensive evaluation method in the paint industry in application of clean production. Chemical Process Technology 16 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Dh., Yao, Sz. (2010). Cleaner Production Evaluation Method-Fuzzy Math Method. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14880-4_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics