A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSIS-AHP framework

Authors:
Mikael Collan;Mario Fedrizzi;Pasi Luukka
Affiliations:
School of Business, Lappeenranta University of Technology, Skinnarilankatu 34, FI-53851 Lappeenranta, Finland;Department of Industrial Engineering, University of Trento, Via Inama 5, I-38122 Trento, Italy;School of Business, Lappeenranta University of Technology, Skinnarilankatu 34, FI-53851 Lappeenranta, Finland
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

Citing 14
Cited 0

Axiomatic foundation of the analytic hierarchy process

Management Science
Metrics and orders in space of fuzzy numbers

Fuzzy Sets and Systems
Some remarks on distances between fuzzy numbers

Fuzzy Sets and Systems
Data clustering: a review

ACM Computing Surveys (CSUR)
Comparison of fuzzy numbers using a fuzzy distance measure

Fuzzy Sets and Systems - Fuzzy intervals
On weighted possibilistic mean and variance of fuzzy numbers

Fuzzy Sets and Systems - Theme: Basic concepts
A fuzzy approach to R&D project portfolio selection

International Journal of Approximate Reasoning
Consensual Dynamics in Group Decision Making with Triangular Fuzzy Numbers

HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks

Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
A rough set based approach to patent development with the consideration of resource allocation

Expert Systems with Applications: An International Journal
An application of fuzzy methods to evaluate a patent under the chance of litigation

Expert Systems with Applications: An International Journal
Numerical Patent Analysis with the Fuzzy Pay-Off Method: Valuing a Compound Real Option

BIFE '11 Proceedings of the 2011 Fourth International Conference on Business Intelligence and Financial Engineering
A generalized fuzzy optimization framework for r&d project selection using real options valuation

ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
A patent intelligence system for strategic technology planning

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

The aim of this paper is to introduce a decision support system that ranks patents based on multiple expert evaluations. The presented approach starts with the creation of three value scenarios for each considered patent by each expert. These are used for the construction of individual fuzzy pay-off distribution functions for the patent value; a consensual fuzzy pay-off distribution is then determined starting from the individual distributions. Possibilistic moments are calculated from the consensus pay-off distribution for each patent and used in ranking them with TOPSIS. It is further showed how the analytic hierarchy process (AHP) can be used to include additional decision variables into the patent selection, thus allowing for a two-tier decision making process. The system is illustrated with a numerical example and the usability of the system and the combination of methods it includes for patent portfolio selection in the real world context is discussed.