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Schizophrenia: Multi-Attribute Utility Theory Approach to Selection of Atypical Antipsychotics
Annals of Pharmacotherapy, 2007Background: Current guidelines/algorithms recommend atypical antipsychotics as first-line agents for the treatment of schizophrenia. Because there are extensive healthcare costs associated with the treatment of schizophrenia, many institutions and health systems are faced with making restrictive formulary ...
Tawny L, Bettinger +3 more
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2018
In linear e-Learning management systems, also referred to as Learning Management Systems (LMS), content is presented to the learners in the same way irrespective of their different learning styles, educational, social and historical background, their interests and learning abilities.
Munyaradzi Maravanyika, Nomusa Dlodlo
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In linear e-Learning management systems, also referred to as Learning Management Systems (LMS), content is presented to the learners in the same way irrespective of their different learning styles, educational, social and historical background, their interests and learning abilities.
Munyaradzi Maravanyika, Nomusa Dlodlo
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A Nonlinear Multi-Attribute Utility Theory
1985In this paper we discuss a new nonlinear Multi-Attribute Utility Function (MAUF) which is quasi-concave. Three types of information on the local scaling constants (coefficients) are defined which are partial, complete, and global. We discuss optimality and how to obtain the most preferred alternative using a partially known MAUF.
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Multi-Attribute Utility Theory: Models and Assessment Procedures
1975This article reviews multi-attribute utility theory under a measurement theoretic perspective. It describes and classifies decision situations according to three salient aspects of choice: uncertainty, time-variability, and multi-dimensionality. For each choice situation the main mathematical representations, their interrelations and differences are ...
Detlof Von Winterfeldt +1 more
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Application of Multi-Attribute Utility Theory
1977Tversky (1967) identified a major goal of scientific investigation as the decomposition of complex phenomena into sets of ‘basic’ factors according to specifiable rules of combination. Following this approach, this review evaluates Multi-attribute Utility Theory (MAUT) in terms of its claim to success in providing an axiomatization of decomposition and
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Multi-Attribute Utility Theory Based K-Means Clustering Applications
International Journal of Data Warehousing and Mining, 2017One of major obstacles in the application of the k-means clustering algorithm is the selection of the number of clusters k. The multi-attribute utility theory (MAUT)-based k-means clustering algorithm is proposed to tackle the problem by incorporating user preferences.
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PRODUCT AND PROCESS COST ESTIMATION WITH FUZZY MULTI-ATTRIBUTE UTILITY THEORY
The Engineering Economist, 1999Abstract The need to provide cost-effective manufacturing technologies is critical in today's globally competitive environment. The ability to make sound decisions about the cost effectiveness of new technologies is the key to achieving the affordability goals of future products and systems.
P.-K. DEAN TING +4 more
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Evaluating PMU site performance with multi attribute utility theory
2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 2013This paper presents a technique for the performance evaluation of Phasor Measurement Units (PMUs) sites in a power system network. The objective of installing PMUs in this work is to enhance the situational awareness for a wide area of power system.
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Use of a Multi-attribute Utility Theory Model in Computer System Selection.
Journal of Information Systems, 1988Abstract Computer system cost is a major capital expenditure for most business organizations. The impact of the decision in selecting a particular computer system pertains to not only the immediate financial resources but also the long-term commitment to the chosen system.
George F. Kiersey +2 more
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Using Multi-attribute Utility Theory to Rank and Select Co-branding Partners
2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008As many companies seek growth through the extension of new markets, co-branding strategy provides an avenue to provide signals of quality and image as successful brands. In the last decade, co-branding and other cooperative brand activities have seen a 40% annual growth.
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