Enterprise Innovation Evaluation Based on Fuzzy Language Field
In this paper, we use fuzzy language field and the method of fuzzy integrative evaluation algorithm that instead of the traditional method of Analytic Hierarchy Process in the background of the enterprise innovation level rating. And develop a system of c
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Abstract In this paper, we use fuzzy language field and the method of fuzzy integrative evaluation algorithm that instead of the traditional method of Analytic Hierarchy Process in the background of the enterprise innovation level rating. And develop a system of computer-assisted innovation evaluation for evaluating the enterprise innovation. Keywords Enterprise innovation · Fuzzy language field · Fuzzy integrative evaluation · Computer-assisted innovation evaluation system
1 Introduction With the growth of economic globalization, all enterprises have to withstand more competition. At same time, the market resource is excessive over-concentration and even be saturated. By way of the long-time existing, the enterprises must adapt with this market environment. Learning how to evolution and innovation is the best way. Now more and more researchers do lots of work around innovation action and innovation system [1–4]. The chapter designed an evaluation method based on B. Yang (B) · H. Li · W. Qian · Y. Zhang School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China e-mail: [email protected] B. Yang · H. Li · W. Qian Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China J. Guo School of Electronics and Information Engineering, Liaoning Technical University, Huludao 125105, China Y. Zhang School of Economics & Management, Tongji University, Shanghai 200092, China
B.-Y. Cao and H. Nasseri (eds.), Fuzzy Information & Engineering and Operations Research & Management, Advances in Intelligent Systems and Computing 211, DOI: 10.1007/978-3-642-38667-1_47, © Springer-Verlag Berlin Heidelberg 2014
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fuzzy integrative evaluation to measure the enterprise innovation, and developed a computer-assisted innovation evaluation system in form of web server.
2 Related Works about Fuzzy Language Field and Fuzzy Language Value Structure 2.1 Related Conception Let us review some conceptions about fuzzy language field [5–11]. Suppose the fuzzy language variable, which describes the state or changing state, has the structure given in Fig. 1: Definition 2.1 Given two real intervals L 1 and L 2 , if L 1 and L 2 do not contain each other, and L 1 ∩ L 2 = φ, then we call L 1 and L 2 the overlapping interval pair. Definition 2.2 Given a sequence of n real intervals, if every two adjacent intervals are overlapping interval pair, then we call the sequence an overlapping interval sequence. Obviously, all the corresponding base variable intervals of fuzzy language valueX (in real domain) compose an overlapping interval sequence. Definition 2.3 To set D consisting of n real intervals that may compose an overlapping interval sequence, the binary relation ≺ is defined as: to any two intervals [x1 , x2 ] ∈ D and [y1 , y2 ] ∈ D, we can get [x1 , x2 ] ≺ [y1 , y2 ] ⇔ (x1 ≥ y1 ) ∧ (x2 ≥ y2 ). Theorem 2.1 The binary relation ≺ defined on D is a complete ordering relation. The proof is omitted. Definition 2.4 In the corresponding b
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