11,400 research outputs found
Heterogeneous group decision making with thermodynamical parameters
There often exist different types of information due to the subjective
and objective criteria in practical decision-making problems,
thus it is necessary to develop some efficient frameworks to
deal with the decision-making problems with heterogeneous
information. The paper proposes a framework for group decisionmaking
problems with heterogeneous information with thermodynamical
parameters consisting of three parts to achieving this
goal. The first part builds the rectifications of criteria weights
according to decision makers’ confidence in evaluations. The
second part adopts thermodynamical parameters to measure the
numerical values and the data distribution of heterogeneous
information to characterize the heterogeneous information fully.
The last part applies the TODIM (an acronym in Portuguese for
Interactive and Multicriteria Decision Making) to aggregate the
decision-making results based on the characterized heterogeneous
information without transforming it into a unified form. By
depicting decision makers’ different sensitive attitudes towards
uncertainty by several mathematical expressions, experiments are
performed to assess the sensitive attitudes’ impacts on decisionmaking
results with the proposed framework. Finally, a case study
on the selection of a green supplier under the low-carbon economy
is provided to illustrate the flexibility and feasibility of the
proposed framework
Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements
This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimates are normally expressed as measures of central tendency of an a priori distribution. In a different vein from analysis conducted in previous discrete choice experiment studies, this paper uses random effects models for panel data to identify the determinants of the individual-specific willingness to pay estimates. In comparison with the standard methods used to incorporate individual-specific variables into the analysis of discrete choice experiments, the analytical approach outlined in this paper is shown to add considerably more validity and explanatory power to welfare estimatesAgri-environment, discrete choice experiments, mixed logit, panel data, random effects, willingness to pay, Demand and Price Analysis, Environmental Economics and Policy, C33, C35, Q24, Q51,
Large-scale consensus with endo-confidence under probabilistic linguistic circumstance and its application
In real decision-making problems, decision makers (DMs) usually
select the most potential project from several ones. However,
they unconsciously show different confidence levels in decisionmaking process because they come from various backgrounds
and have different experiences, etc., which affects the decision
results. Moreover, the probabilistic linguistic term set, which not
only includes the linguistic expressions used by DMs in their daily
life but also contains the probability for each linguistic term, can
well portray the real perceptions of DMs for the projects.
Furthermore, large-scale consensus has gradually been a popular
way to effectively solve complex decision-making problems. To
sum up, in this paper, we are dedicated to constructing a largescale consensus model considering the confidence levels of DMs
under probabilistic linguistic circumstance. Firstly, the endo-confidence is defined and measured by DM’s probabilistic linguistic
information. Then, the DMs are clustered according to the similarities of both evaluation information and the endo-confidence levels. Both evaluation of the non-consensus cluster and evaluation
integrated by the clusters with higher endo-confidence level than
this non-consensus cluster are used as the reference to adjust its
evaluation information. Then, a case study and the comparative
analysis are carried out. Finally, some conclusions and future work
are given
- …