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Abstract
This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find decision rules associated with FP changes. Companies may identify its underperformed criterion (gap) to conduct formal concept analysis (FCA) – by implication rules – to explore the source criteria regarding the underperformed gap. The source criteria are analysed by decision making trial and evaluation laboratory (DEMATEL) technique to explore the cause-effect relationship among the source criteria for guiding improvements; in the next, DEMATEL-based analytical network process (DANP) can provide the influential weights to form an evaluation model, to select or rank improvement plans. To illustrate the proposed method, the financial data of a real semiconductor company is used as an example to show the involved processes: from performance gaps identification to the selection of five assumed improvement plans. Moreover, the obtained implication rules can integrate with DEMATEL analysis to explore directional influences among the critical criteria, which may provide rich insights and managerial implications in practice.
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Notes on contributors
Kao-Yi Shen
Kao-Yi SHEN received his Bachelor and Master degrees in Industrial Engineering from the Tunghai University in 1992 and 1998 respectively; and in 2002, he received the PhD degree in Business Administration from the Chengchi University in Taiwan. He worked as a senior analyst in the venture capital industry, and he also worked as a Marketing Manager and Head of Project Management in a Taiwan-based IT company. He developed more than 10 IT products, and he also owned several patents in TV-signals related applications in Taiwan, US, and China. He currently works as an Associate Professor at the Department of Banking and Finance in Chinese Culture University (SCE) in Taiwan, and he has published several papers to solve financial problems by using soft computing and MCDM methods in the journals like Knowledge-based Systems, International Journal of Fuzzy Systems, etc.
Gwo-Hshiung Tzeng
Gwo-Hshiung TZENG. In 1967, he received the Bachelor's degree in Business Management from the Tatung Institute of Technology (now Tatung University), Taiwan; in 1971, he received the Master's degree in Urban Planning from Chung Hsing University (now Taipei University), Taiwan; and in 1977, he received the PhD degree course in management science from Osaka University, Osaka, Japan. He was an Associate Professor at Chiao Tung University, Taiwan (1977–1981), a Research Associate at Argonne National Laboratory (July 1981 – January 1982), a Visiting Professor in the Department of Civil Engineering at University of Maryland, College Park (August 1989 – August 1990), a Visiting Professor in the Department of Engineering and Economic System, Energy Modeling Forum at Stanford University (August 1997 – August 1998), a Professor at Chaio Tung University (1981–2003), and a Chair Professor at Chiao Tung University. He currently works at a Distinguished Chair Proffesor at the Graduate Institute of Urban Planning of Collegue of Public Affairs, National Taipei University. His research interests include statistics, multivariate analysis, network, routing and scheduling, multiple criteria decision making, fuzzy theory, hierarchical structure analysis for applying to technology management, energy, environment, transportation systems, transportation investment, logistics, location, urban planning, tourism, technology management, electronic commerce, global supply chain, etc.