Using Stochastic Multi-Criteria Acceptability Analysis in Biologically Inspired Design as a Multi-Disciplinary Tool to Assess Biology-to-Engineering Transfer Risk for Candidate Analogs

Lindsey M Williams; Atila Ertas; Derrick Tate

Using Stochastic Multi-Criteria Acceptability Analysis in Biologically Inspired Design as a Multi-Disciplinary Tool to Assess Biology-to-Engineering Transfer Risk for Candidate Analogs

Lindsey M Williams, Atila Ertas, Derrick Tate

Mechanical Engineering

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	1107-1114
Journal	ASME, Journal of Mechanical Design
State	Published - Nov 2014

Cite this

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title = "Using Stochastic Multi-Criteria Acceptability Analysis in Biologically Inspired Design as a Multi-Disciplinary Tool to Assess Biology-to-Engineering Transfer Risk for Candidate Analogs",

author = "Williams, {Lindsey M} and Atila Ertas and Derrick Tate",

year = "2014",

month = nov,

language = "English",

pages = "1107--1114",

journal = "ASME, Journal of Mechanical Design",

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T1 - Using Stochastic Multi-Criteria Acceptability Analysis in Biologically Inspired Design as a Multi-Disciplinary Tool to Assess Biology-to-Engineering Transfer Risk for Candidate Analogs

AU - Williams, Lindsey M

AU - Ertas, Atila

AU - Tate, Derrick

PY - 2014/11

Y1 - 2014/11

M3 - Article

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EP - 1114

JO - ASME, Journal of Mechanical Design

JF - ASME, Journal of Mechanical Design

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