Optimal Selection Method of Process Patents for Technology Transfer Using Fuzzy Linguistic Computing

Abstract

Under the open innovation paradigm, technology transfer of process patents is one of the most important mechanisms for manufacturing companies to implement process innovation and enhance the competitive edge. To achieve promising technology transfers, we need to evaluate the feasibility of process patents and optimally select the most appropriate patent according to the actual manufacturing situation. Hence, this paper proposes an optimal selection method of process patents using multiple criteria decision-making and 2-tuple fuzzy linguistic computing to avoid information loss during the processes of evaluation integration. An evaluation index system for technology transfer feasibility of process patents is designed initially. Then, fuzzy linguistic computing approach is applied to aggregate the evaluations of criteria weights for each criterion and corresponding subcriteria. Furthermore, performance ratings for subcriteria and fuzzy aggregated ratings of criteria are calculated. Thus, we obtain the overall technology transfer feasibility of patent alternatives. Finally, a case study of aeroengine turbine manufacturing is presented to demonstrate the applicability of the proposed method.

Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review

“…However, this problem usually appears complex as it encompasses the need to consider such aspects as uncertainties of technical and commercial success, current life-cycle level of the technology, possibilities of its development, environmental impact, etc. and also interactions with the current technologies in the organisation (Houseman et al, 2004;Krishnan & Bhattacharya, 2002;Wang et al, 2014). Technology selection aims "to obtain new know-how, components, and systems which will help the company to make more competitive products and services, more effective processes, and/or create completely new solutions" (Houseman et al, 2004, p. 2).…”

Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model

“…Radfar [18] presented a fuzzy TOPSIS approach to identify and prioritize various foreign investment methods for technology transfer in the ship-making industry. Wang et al [19] proposed an optimal selection method of process patents for technology transfer, using fuzzy MCDM techniques and a 2-tuple fuzzy linguistic representation model. A case study of aero-engine turbine manufacturing was presented to demonstrate the applicability of the proposed method.…”