Decision Table Synthesis in Fuzzy Environment for Industrial Robot – Telpher

15th International Scientific Conference "Engineering for Rural Development": Proceedings. Vol.15 2016
Kristīne Mežale, Andris Kundziņš, Zigurds Markovičs

To ensure intellectual operation of the robot in decision-making tasks, its control system must have a knowledge base that encompasses a full set of results in the corresponding field. The knowledge base can be based upon several types of decision-making rules, including sets of production rules, which are best presented in the form of decision tables. The present paper investigates the versions of synthesis of decision tables in the fuzzy environment depending on the mutual relationships between criteria. The authors compare three examples that are important for decision table synthesis.

Keywords
Artificial intelligence, decision rules, decision tables, decision trees, decision-making criteria, fuzzy sets, linguistic variables, robot
Hyperlink
http://www.tf.llu.lv/conference/proceedings2016/Papers/N036.pdf

Mežale, K., Kundziņš, A., Markovičs, Z. Decision Table Synthesis in Fuzzy Environment for Industrial Robot – Telpher. In: 15th International Scientific Conference "Engineering for Rural Development": Proceedings. Vol.15, Latvia, Jelgava, 25-27 May, 2016. Jelgava: Latvia University of Agriculture, 2016, pp.204-209. ISSN 1691-5976.

Publication language
English (en)