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Determining the Balance Scorecard in Sheet Metal Industry Using the Intuitionistic Fuzzy Analytical Hierarchy Process with Fuzzy Delphi Method

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Mining Intelligence and Knowledge Exploration (MIKE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10089))

Abstract

Balance Scorecard (BS) is an important part of human resource management in any organization or industry. It used to cascade the organization vision and its expectation and develop the employment capability. Balance scorecard may have many factors. In order to produce the best product and to retain the trust of customers, the industry should be able to identify which area has to be concentrated with higher priority in the Balance Scorecard. This situation lead with an uncertainty to multi criteria decision making. In this work, an attempt has been made for ranking the factors in the Balance Scorecard using Intuitionistic fuzzy analytical hierarchy process with fuzzy Delphi method.

Currently Rajaprakash is research scholar at SCSVMV University and an Associate Professor at the Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission University Chennai, India.

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Rajaprakash, S., Ponnusamy, R. (2017). Determining the Balance Scorecard in Sheet Metal Industry Using the Intuitionistic Fuzzy Analytical Hierarchy Process with Fuzzy Delphi Method. In: Prasath, R., Gelbukh, A. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2016. Lecture Notes in Computer Science(), vol 10089. Springer, Cham. https://doi.org/10.1007/978-3-319-58130-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-58130-9_11

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  • Print ISBN: 978-3-319-58129-3

  • Online ISBN: 978-3-319-58130-9

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