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Guest Editorial: Advances in Intelligent Techniques for Knowledge Management and Decision Making

Knowledge, information, expertise, and intellectual capital have been well recognized as important assets to achieve a continuous competitive advantage. Undoubtedly, knowledge management (KM) and decision making are the keys to ensure an organization is utilizing its knowledge assets in achieving high organizational performance and future advancement. Particularly, the emergence and development of intelligent techniques have provided new opportunities to researchers and practitioners in the fields of KM and decision making. Several applications of intelligent techniques in KM and decision making include the use of artificial intelligence to capture, discover, and measure knowledge and the use of expert systems to generate solutions for dynamic and complex decision-making problems. Intelligent techniques have endless potential in KM and decision making. Understanding the developments and trends in KM and decision making through the involvement of intelligent techniques and their effects on actual implementation can provide valuable theoretical and practical implications to these areas. Some genuine theories and proposals on the application of intelligent techniques in KM and decision making are collected and presented in this special issue of Cybernetics and Systems. The special issue starts with the article titled “A Fuzzy Logic-Based Knowledge Management Performance Measurement System for SMEs.” In this study, the authors develop a genuine KM performance measurement system for smalland medium-sized companies using fuzzy logic to deal with the uncertainty and ambiguity faced in the evaluation of KM performance. The next article, titled “Integrated Business Prestige and Artificial Intelligence for Corporate Decision Making in Dynamic Environments,” proposes a method to estimate corporate risk using hybridized random projection and data envelopment analysis. It also utilizes artificial intelligencebased techniques to construct a forecasting mechanism for managers to assess their firm’s performance ranking as well as its prestige.