Identification of hazard cases in ship operations on the basis of group decision data
Author(s) -
Vyacheslav Ivanovich Menshikov,
Kseniya Vyacheslavovna Penkovskaya,
Anna Malaeva
Publication year - 2020
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/539/1/012109
Subject(s) - identification (biology) , operations research , resource (disambiguation) , group decision making , computer science , hazard , basis (linear algebra) , group (periodic table) , engineering , mathematics , ecology , computer network , chemistry , organic chemistry , law , political science , biology , geometry
The study examines a sustainable group decision-making model aimed at improving the efficiency and safety of ship operations. The sustainable group decision-making model is developed on the basis of the scenario describing the interaction between independent specialists from the expert community. It is revealed that developing the scenarios of ship operations and the procedures of the ship operations status control is based on the decisions made by expert groups. The study proposes the relations class of the individuals, where “human elements” are characterized by hierarchical vector criterion. When using such a criterion the analysis of equilibrium situations is focused on, and most of the results of the analysis are obtained for the case when the “human elements” share the resources defined through vector variables. It is shown that in the developed sustainable group decision-making model each expert could have two components of the global goal – personal and social constituents when choosing hazardous cases from ship operations patterns. These components should be achieved in the implementation of the ship key operation through the distribution of the vector resource. The algorithm for assessing the properties of “group decisions stability” is based on the principle of “making group decisions of many individuals”, introduced in the work with the help of a solutions spheroid. Thus, for a finite number of steps, the algorithm estimates if the decisions of each expert belong to the group decisions spheroid, showing that there are no other solutions that would belong to this spheroid.
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