Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Model-Checking Algorithms for Continuous-Time Markov Chains
IEEE Transactions on Software Engineering
IEEE Transactions on Knowledge and Data Engineering
Performance Evaluation of Home Gateway System Based on GSPN
ICMTMA '09 Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03
Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective
Knowledge-Based Systems
Perceptually grounded self-diagnosis and self-repair of domain knowledge
Knowledge-Based Systems
Self-adaptive stepsize search for automatic optimal design
Knowledge-Based Systems
Design of Liveness-Enforcing Supervisors for Flexible Manufacturing Systems Using Petri Nets
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Sequential failure analysis using counters of Petri net models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Knowledge Representation Using High-Level Fuzzy Petri Nets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the converse theorem in statistical hypothesis testing for Markov chains
IEEE Transactions on Information Theory
Hi-index | 0.00 |
The Theory of Inventive Problem Solving (TRIZ) has been widely employed in the fields of business and industry. The degree of difficulty in a problem usually depends on its description and degree of standardization. Using an appropriate description and maintaining standardization can minimize the scope of the problem and significantly increase the likelihood of resolving it successfully. Most problems can be resolved easily with innovative principles and standard resolutions. However, non-standard complex invention problems must be analyzed and resolved using the Algorithm for Inventive-Problem Solving (ARIZ), which contains numerous systematic tools of the TRIZ. This study applies the behavioral properties of a Petri net to the description of a problem to establish a problem model and perform scenario analysis. When describing the problem, the developer was provided with suitable directions of thinking or with wrong messages for reference. To create more specific effects on the varied problem models and scenario analyses of the TRIZ, this study combines the TRIZ with Petri nets and Markov chains to help new learners of TRIZ or professional researchers obtain appropriate resolutions rapidly.