An Evaluation Model of Innovation Performance Based on Fuzzy Interval Linguistic Variables

模糊區間語意於創新績效評估模式建構之研究

10.29977/JCIIE.200909.0007

陳振東(Chen-Tung Chen)；陳佩筠(Pei-Yun Chen)

創新績效 ； 模糊理論 ； 區間語意變數 ； 語意決策模式 ； innovation performance ； fuzzy sets ； interval linguistic variable ； linguistic evaluation model

工業工程學刊

26卷5期（2009 / 09 / 01）

387 - 396

英文

面對21世紀新經濟時代的來臨，組織唯有透過持續的創新，才能創造出具有差異化的產品或服務，進而提升企業組織的競爭優勢。然而，一個好的創新系統設計必須透過衡量系統的評估，才能有效展現創新的價值。一般而言，進行組織創新績效衡量時，必需考慮多個影響構面與因素，以及評估人員的主觀判斷，因而使得組織創新績效的衡量過程充滿不確定性與模糊性。爲此，本研究利用因素分析篩選出影響組織創新的衡量指標，並建立評估架構，進而以模糊理論爲基礎，藉由語意轉換函數，提出一個以二元語意計算爲基礎的模糊區間語意評估模式，以衡量企業組織的創新績效。最後，進行個案實證分析，以驗證本研究所提出之評估模式的實用性。

Facing new economical era in 21st century, the organizations should build the innovation development system to create the difference products or the service model to promote organization's competitive advantage. However, a good innovation system must measure the innovation performance effectively according to an evaluation model. In general, many influence factors and the subjective judgments of managers should be considered in the evaluation process of the innovation performance. Under this situation, the evaluation process of the innovation performance is uncertainty and fuzziness. For the purpose, this paper defined the measurement factors and indices of the organization innovation performance by using the factor analysis. And then, a 2-tuple fuzzy interval linguistic evaluation model is proposed to measure the innovation performance of the organization. Finally, the case analysis is implemented to verify the practicability of the proposed model in this paper.

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