The algorithm design manual
The zero/one multiple knapsack problem and genetic algorithms
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Optimal testing-resource allocation with genetic algorithm for modular software systems
Journal of Systems and Software
Foundations of Algorithms Using Java Pseudocode
Foundations of Algorithms Using Java Pseudocode
Using the patent co-citation approach to establish a new patent classification system
Information Processing and Management: an International Journal
Rough set based incremental clustering of interval data
Pattern Recognition Letters
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
K-means Clustering for Classifying Unlabelled MRI Data
DICTA '07 Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications
Expert Systems with Applications: An International Journal
A rough set-based fault ranking prototype system for fault diagnosis
Engineering Applications of Artificial Intelligence
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Stability analysis of network-based cooperative resource allocation strategies
Automatica (Journal of IFAC)
Average-case analysis of a greedy algorithm for the 0/1 knapsack problem
Operations Research Letters
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Patent strategy is the overriding mechanism that helps direct investment, resource allocation, expectations, and policy development within an organization. Much studies of patent, for example, patent classification, patent analysis, patent management, patent strategy planning have been made. Due to the high cost of devoting to the research and development for a new patent application, it is essential for a company to develop the patent portfolio based on analyzing related information for fitting with cost constraint and maximizing the benefit. However, only few research attempts to develop new patents with the consideration of resource allocation, for example, optimizing budget utilization. In addition, the previous studies did not derive significant technologies and induct rules for resource allocation through patent analysis. In some cases, the patent analysis may process qualitative information that is difficult to analyze by standard statistical techniques. The rough set approach, which is suitable for processing qualitative information, is required to induct decision rules to derive critical technologies of patents. In this paper, a systematic approach to analyze existing patent information based on rough set theory with the consideration of resource allocation is developed. A case study is presented to demonstrate the contribution of the proposed approach which assists on decision-making in patent reform or invention with constraint resource.