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

2019 ◽  
Vol 19 (4) ◽  
pp. 955-971
Author(s):  
Pierre L. Kunsch ◽  
Jean-Pierre Brans
Keyword(s):  
Multiple Stakeholders ◽  
Decision Systems ◽  
Complex Decision

scholarly journals Ant-based extraction of rules in simple decision systems over ontological graphs

2015 ◽  
Vol 25 (2) ◽  
pp. 377-387 ◽  
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

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

2006 ◽  
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).

Manipulation

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.

Complex Decision Systems and Conflicts Analysis Problem

2013 ◽  
Vol 127 (1-4) ◽  
pp. 341-356 ◽  
Author(s):  
Alicja Wakulicz-Deja ◽  
Agnieszka Nowak-Brzezińska ◽  
Małgorzata Przybyła-Kasperek
Keyword(s):  
Analysis Problem ◽  
Decision Systems ◽  
Complex Decision

Buying Behavior of Organizations for Software Products: Influence of Environmental Factors

2019 ◽  
Vol 118 (10) ◽  
pp. 252-271
Author(s):  
Md. Hashmathur Rehman ◽  
Dr. M. Rajkumar
Keyword(s):  
Environmental Factors ◽  
Board Members ◽  
Governing Board ◽  
Buying Behavior ◽  
Multiple Stakeholders ◽  
Software Products ◽  
Environmental Situation ◽  
Business Operations ◽  
Innovation Dynamics ◽  
The Government

The environmental situation for an organization is the environment in which an organization operates.It consists of multiple stakeholders such as governing board members, business competitors, suppliers,customers, the government, etc. They can influence the organization’s decision to adopt an innovation. The influence can ease the organization in adopting the innovation or it can block or affect negatively the organization’s decision to adopt the innovation. Dynamics of the market in which the organization operatesand business competitors will also influence the organization’s decision to adopt innovations.  Customers, Suppliers are sources who will exercise their powers and influence the organization’s decision. Governmentregulation is also equally important and will influence the organization’s decision to adopt innovation. In a nutshell, the environment will influence the organization’s decision to adopt innovations for its business operations.

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