A Fuzzy-AHP Based Innovation Ability Evaluation System for Small and Medium-Sized Enterprise Clusters

Author

Huang Ying ; Li Jin-Chang

Author_Institution

Sch. of Stat. & Math., Zhejiang Gongshang Univ., Hangzhou, China

Volume

1

fYear

2009

fDate

26-27 Dec. 2009

Firstpage

277

Lastpage

281

Abstract

Objective evaluation of innovation ability can be considered as an important prerequisite to improve the competitiveness of SME (small and medium-sized enterprise) clusters. Aiming at the complexity and fuzziness of innovation capability measurement, this paper presents a systematic evaluation model by combining fuzzy theory with analytical hierarchy process (AHP) which converts quantitative analysis into qualitative analysis. It mainly consists of four procedures: formulation of judgment hierarchy, establishment of judgment matrix, construction of fuzzy matrix and synthesis-evaluation. This approach is convenient and scientific and the results of an example indicate the system is feasible and effective. It provides theoretical reference for improving innovation abilities of SME clusters.

Keywords

fuzzy set theory; matrix algebra; small-to-medium enterprises; SME clusters; analytical hierarchy process; fuzzy matrix; fuzzy theory; innovation ability evaluation system; judgment hierarchy formulation; judgment matrix; medium sized enterprises; qualitative analysis; quantitative analysis; small sized enterprise clusters; systematic evaluation model; Business; Fuzzy systems; Industrial engineering; Information management; Innovation management; Mathematics; Matrix converters; Statistical analysis; Statistics; Technological innovation; SME clusters; analytic hierarchy process; evaluation system; fuzzy theory; innovation ability;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-0-7695-3876-1

Type

conf

DOI

10.1109/ICIII.2009.74

Filename

5369228