Method For The Best Solutions Search in Multiobjective Decision Problems
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Search Techniques. Pages 357-361.
Abstract
This paper describes a method for constructing a decision rule providing the isolation of the most preferable solutions in multiobjective decision problems. The method is based on the iterative procedure for constructing decision rules. Criteria of meaning-fulness and consistency of received information are formulated. The results are given of applying the method to solution of the most preferable alternatives search problems concerning the mineshaft layout.
V. Ozernoi, and M. Gaft. 1975. Method For The Best Solutions Search in Multiobjective Decision Problems. In Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75. IJCAI, 357–361. https://ijcai.org/proceedings/1975/55
Ozernoi, V., & Gaft, M. (1975). Method For The Best Solutions Search in Multiobjective Decision Problems. In Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 (pp. 357–361). IJCAI. https://ijcai.org/proceedings/1975/55
@inproceedings{ijcai1975p55,
title = {Method For The Best Solutions Search in Multiobjective Decision Problems},
author = {Ozernoi, V. and Gaft, M.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {357--361},
year = {1975},
note = {Search Techniques},
url = {https://ijcai.org/proceedings/1975/55},
}
TY - CPAPER TI - Method For The Best Solutions Search in Multiobjective Decision Problems AU - Ozernoi, V. AU - Gaft, M. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 357 EP - 361 UR - https://ijcai.org/proceedings/1975/55 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: