Enterprise investment decision performance evaluation is a complex system, which affected by many factors. Based on the consideration of corporate strategy and stakeholders, six-level index system designed to evaluate decision-making. The index-selection method combining benchmarking management principal component analysis established, enterprise based neural network fuzzy decision-making desig...

This paper derives the functional forms of multiattribute utility functions that lead to a maximum of one-switch change in preferences between any two uncertain and multiperiod cash flows as the decision maker’s wealth increases through constant annuity payments. We derive the general and continuous non-constant solutions of the corresponding functional equations. 2013 Elsevier Inc. All rights ...

We describe the semantic foundations for elicitation of generalized additively independent (GAI) utilities using the minimax regret criterion, and propose several new query types and strategies for this purpose. Computational feasibility is obtained by exploiting the local GAI structure in the model. Our results provide a practical approach for implementing preference-based constrained configur...

This paper extends the multicriteria decision paradigm to the heuristic search domain in a systematic way. A useful formal definition of multicriteria heuristic graph search problems is provided. Then the fundamental issues in multicriteria search are described in detail and a general framework is developed. Several new procedures are presented and analyzed for the usual multicriteria decision ...

This paper investigates the statistical properties of the Choquet and Sugeno integrals, used as multiattribute models. The investigation is done on an empirical basis, and focuses on two topics: the distribution of the output of these integrals when the input is corrupted with noise, and the robustness of these models, when they are identified using some set of learning data through some learni...

Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Markov models for probability distributions. In an attempt to bridge the gap, we propose a new representation for utility functions which follows its probabilistic analog to a greater extent. Starting from a simple definition of ...