Evolutionary and Economic Agents in Complex Decision Systems

2015 ◽

Vol 25 (2) ◽

pp. 377-387 ◽

Cited By ~ 6

Author(s):

Krzysztof Pancerz ◽

Arkadiusz Lewicki ◽

Ryszard Tadeusiewicz

Keyword(s):

Rough Set ◽

Heuristic Algorithm ◽

Decision Rules ◽

Decision Systems ◽

Dominance Principle ◽

Clustering Approach ◽

Complex Decision ◽

Semantic Spaces

Abstract In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominancebased rough set approach (DRSA). In our study, we propose to use a heuristic algorithm, utilizing the ant-based clustering approach, searching the semantic spaces of concepts presented by means of ontological graphs. Concepts included in the semantic spaces are values of attributes describing objects in simple decision systems

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Study on Ship Form Technical and Economic Evaluation DS Based on Interactive MCDM

Volume 2: Ocean Engineering and Polar and Arctic Sciences and Technology ◽

10.1115/omae2006-92634 ◽

2006 ◽

Cited By ~ 2

Author(s):

Sang Song ◽

Li-Hua Jun

Keyword(s):

Decision Making ◽

Analytical Hierarchy Process ◽

Accurate Result ◽

Multiple Criteria Decision Making ◽

Least Square Method ◽

Least Square ◽

New Method ◽

Decision Systems ◽

Complex Decision ◽

Hierarchy Process

A new method of interactive Multiple Criteria Decision Making (MCDM) is presented. In order to settle the problem that in the cases for the ship designers sometimes it is difficult to make a decision when facing so complex ship form schemes. The conventional AHP (Analytical Hierarchy Process) is adopted, but it mostly depends on the designer’s subjective and leads to the systematic error. The new method can obtain the accurate result with the rigid least square method as a tool, making full use of the AHP and the objective information entropy, which reflects the inherent attribute. When applied in the practice, it is proved to be effective, practical and dependable for future ships’ complex Decision Systems (DS).

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Visualising multi-criteria weight elicitation by multiple stakeholders in complex decision systems

Operational Research ◽

10.1007/s12351-018-00446-0 ◽

2019 ◽

Vol 19 (4) ◽

pp. 955-971

Author(s):

Pierre L. Kunsch ◽

Jean-Pierre Brans

Keyword(s):

Multiple Stakeholders ◽

Decision Systems ◽

Complex Decision

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Wealth formation by economic agents and their international mobility: towards an eclectic migration decision-support framework

Studia z Polityki Publicznej ◽

10.33119/kszpp/2019.4.2 ◽

2020 ◽

pp. 33-60

Author(s):

Barbara Jancewicz ◽

Stefan Markowski

Keyword(s):

International Migration ◽

Migration Decision ◽

Major Influence ◽

Centrifugal Forces ◽

International Mobility ◽

Economic Agents ◽

Decision Support Framework ◽

Complex Decision ◽

Decision Mechanisms ◽

Global Population

International migration has been a major influence on the economic and social development of nations. Nevertheless, a vast majority of the global population continues to reside in their country of birth. While income/wealth differentials between states create centrifugal forces responsible for migration, impediments to international mobility of human, financial, physical and social capital assets work in the centripetal direction. This paper reviews a large segment of the extant literature on international migration to probe economic influences on people’s international mobility and immobility decisions. It aims to refine and extend the neoclassical foundations of migration theory and to outline howpotentially complex decision mechanisms used by potentially mobile economic agents may be modified to simplify the complexity inherent in such choices so that immobility is often a default outcome of indecision.

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Manipulation

The Oxford Handbook of Public Choice, Volume 1 ◽

10.1093/oxfordhb/9780190469733.013.46 ◽

2019 ◽

pp. 394-412

Author(s):

Charles R. Plott

Keyword(s):

Public Choice ◽

Choice Theory ◽

Group Decision ◽

Decision Processes ◽

Group Choice ◽

Public Choice Theory ◽

Decision Systems ◽

Potential Sources ◽

Complex Decision ◽

Individual Decisions

Systematic opportunities for manipulation emerge as a by-product of the structure of all group decision processes. Theory suggests that no process is immune. The study of manipulation provides principles and insights about how parts of complex decision systems work together and how changes in one part can have broad impact. Thus, manipulation strategies are derived from many features of voting processes. Public choice theory highlights relationships among group choice, rules, and individual decisions. The theory is a source of surprises and paradoxes that suggests tools for manipulation of group choices. This chapter catalogs many of the surprises that harbor potential sources of manipulation in the hope that a deeper understanding of manipulation will produce better systems.

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