Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Intellectual capital: the new wealth of organizations
Intellectual capital: the new wealth of organizations
Choice processes for non-homogeneous group decision making in linguistic setting
Fuzzy Sets and Systems
The New Organizational Wealth: Managing and Measuring Knowledge-Based Assets
The New Organizational Wealth: Managing and Measuring Knowledge-Based Assets
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A multidimensional approach for CSR assessment: The importance of the stakeholder perception
Expert Systems with Applications: An International Journal
A fuzzy rule-based expert system for evaluating intellectual capital
Advances in Fuzzy Systems - Special issue on Real-Life Applications of Fuzzy Logic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.06 |
In a knowledge era, intellectual capital has become a determinant resource for enterprise to retain and improve competitive advantage. Because the nature of intellectual capital is abstract, intangible, and difficult to measure, it becomes a challenge for business managers to evaluate intellectual capital performance effectively. Recently, several methods have been proposed to assist business managers in evaluating performance of intellectual capital. However, they also face information loss problems while the processes of subjective evaluation integration. Therefore, this paper proposes a suitable model for intellectual capital performance evaluation by combining 2-tuple fuzzy linguistic approach with multiple criteria decision-making (MCDM) method. It is feasible to manipulate the processes of evaluation integration and avoid the information loss effectively. Based on the proposed model, its feasibility is demonstrated by the result of intellectual capital performance evaluation for a high-technology company in Taiwan.