SODPM: A sequence-oriented decision process model for unstructured group decision problems

2002 ◽  
Vol 21 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Chien-Hsing Wu
10.28945/2750 ◽  
2004 ◽  
Author(s):  
Abdullah Gani ◽  
Omar Zakaria ◽  
Nor Badrul Anuar Jumaat

This paper presents an application of Markov Decision Process (MDP) into the provision of traffic prioritisation in the best-effort networks. MDP was used because it is a standard, general formalism for modelling stochastic, sequential decision problems. The implementation of traffic prioritisation involves a series of decision making processes by which packets are marked and classified before being despatched to destinations. The application of MDP was driven by the objective of ensuring the higher priority packets are not delayed by the lower ones. The MDP is believed to be applicable in improving the traffic prioritisation arbitration.


2020 ◽  
pp. 193672442098298
Author(s):  
Beverlee B. Anderson ◽  
Jennifer Jeffries ◽  
Janet McDaniel

Humans make thousands of decisions each day. Most of the decisions we make are trivial or relatively unimportant in possible consequences. However, there are a few decisions we make in life that are lifechanging; one of those is the decision to retire from the professoriate. Voluntarily deciding to leave a profession where one has spent a substantial portion of one’s working life is one of life’s major decisions. This qualitative research looks at the various influences, actions, and feelings through the process of deciding to retire. Using a five-stage cognitive decision-process model as a framework, this paper reports on the reflections of 20 recent retirees over the five stages of the decision process from when first seriously considering the decision to postretirement activities and feelings. The results show that while all faculty progressed through the five stages, the timeframe, influences, feelings, and actions were unique to each individual.


2015 ◽  
Vol 713-715 ◽  
pp. 1769-1772
Author(s):  
Jie Wu ◽  
Lei Na Zheng ◽  
Tie Jun Pan

In order to reflect the decision-making more scientific and democratic, modern decision problems often require the participation of multiple decision makers. In group decision making process,require the use of intuitionistic fuzzy hybrid averaging operator (IFHA) to get the final decision result.


Author(s):  
Elisa Guagenti Grandori

This work focuses on decision problems concerning risk reduction in the case of catastrophic events, which are scarsely predictable but associated to severe expected damage. A cryterium is outlined in order to judge the relative credibility of competing models. The knowledge-decision process is dissected in its components. The steps of the procedure from knowledge to final decision are analyzed. The effectiveness of short-term prediction and the choice of the acceptable risk are also discussed. A few case studies, related to earthquakes, landslides and pollution, are exposed.


2005 ◽  
Vol 128 (4) ◽  
pp. 678-688 ◽  
Author(s):  
Tung-King See ◽  
Kemper Lewis

Supporting the decision of a group in engineering design is a challenging and complicated problem when issues like consensus and compromise must be taken into account. In this paper, we present the foundations of the group hypothetical equivalents and inequivalents method and two fundamental extensions making it applicable to new classes of group decision problems. The first extension focuses on updating the formulation to place unequal importance on the preferences of the group members. The formulation presented in this paper allows team leaders to emphasize the input from certain group members based on experience or other factors. The second extension focuses on the theoretical implications of using a general class of aggregation functions. Illustration and validation of the developments are presented using a vehicle selection problem. Data from ten engineering design groups are used to demonstrate the application of the method.


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