This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. Electrical Discharge Machining (EDM), a commonly used non-traditional manufacturing process was considered in this study. | See discussions, stats, and author profiles for this publication at: Multi-attribute decision making for green electrical discharge machining Article in Expert Systems with Applications · July 2011 DOI: · Source: DBLP CITATIONS READS 45 156 3 authors: S. P. Sivapirakasam Jose Mathew National Institute of Technology Tiruchirappalli College of Engineering Adoor 48 PUBLICATIONS 358 CITATIONS 10 PUBLICATIONS 81 CITATIONS SEE PROFILE SEE PROFILE Surianarayanan Mahadevan Central Leather Research Institute 110 PUBLICATIONS 963 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Biocalorimetry View project Chemical Process Safety View project All content following this page was uploaded by Surianarayanan Mahadevan on 13 January 2015. The user has requested enhancement of the downloaded file. All in-text references underlined in blue are added to the original document and are linked to publications on ResearchGate, letting you access and read them immediately. Expert Systems with Applications 38 (2011) 8370–8374 Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: Multi-attribute decision making for green electrical discharge machining . Sivapirakasam a,⇑, Jose Mathew a, M. Surianarayanan b a b Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli, India CISRA, Central Leather Research Institute, Chennai, India a r t i c l e i n f o Keywords: EDM TOPSIS Green manufacturing Multi-attribute decision making a b s t r a c t This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. Electrical Discharge Machining (EDM), a commonly used non-traditional manufacturing process was considered in this study. A decision .
