Why triangular membership functions?
Fuzzy Sets and Systems
Applications of type-2 fuzzy logic systems to forecasting of time-series
Information Sciences—Informatics and Computer Science: An International Journal
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Recombinant Uncertainty in Technological Search
Management Science
A type-2 fuzzy rule-based expert system model for stock price analysis
Expert Systems with Applications: An International Journal
The future of computer-aided innovation
Computers in Industry
Evaluation Frame of Technological Developing Trend Based on Patent Information
UKSIM '10 Proceedings of the 2010 12th International Conference on Computer Modelling and Simulation
Review: Industrial applications of type-2 fuzzy sets and systems: A concise review
Computers in Industry
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
Modeling and analyzing technology innovation in the energy sector: Patent-based HMM approach
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
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Even though fuzzy logic is one of the most common methodologies for matching different kind of data sources, there is no study which uses this methodology for matching publication and patent data within a technology evaluation framework according to the authors' best knowledge. In order to fill this gap and to demonstrate the usefulness of fuzzy logic in technology evaluation, this study proposes a novel technology evaluation framework based on an advanced/improved version of fuzzy logic, namely; interval type-2 fuzzy sets and systems (IT2FSSs). This framework uses patent data obtained from the European Patent Office (EPO) and publication data obtained from Web of Science/Knowledge (WoS/K) to evaluate technology groups with respect to their trendiness. Since it has been decided to target technology groups, patent and publication data sources are matched through the use IT2FSSs. The proposed framework enables us to make a strategic evaluation which directs considerations to use-inspired basic researches, hence achieving science-based technological improvements which are more beneficial for society. A European Classification System (ECLA) class - H01-Basic Electric Elements - is evaluated by means of the proposed framework in order to demonstrate how it works. The influence of the use of IT2FSSs is investigated by comparison with the results of its type-1 counterpart. This method shows that the use of type-2 fuzzy sets, i.e. handling more uncertainty, improves technology evaluation outcomes.