About: Multi-attribute utility is a research topic. Over the lifetime, 279 publications have been published within this topic receiving 6146 citations.
TL;DR: A four-attribute health state classification system designed to uniquely categorize the health status of all individuals two years of age and over is presented and the modified method is found to be applicable to the task--no insurmountable difficulties are encountered.
Abstract: A four-attribute health state classification system designed to uniquely categorize the health status of all individuals two years of age and over is presented. A social preference function defined over the health state classification system is required. Standard multi-attribute utility theory is investigated for the task, problems are identified and modifications to the standard method are proposed. The modified methods is field tested in a survey research project involving 112 home interviews. Results are presented and discussed in detail for both the social preference function and the performance of the modified method. A recommended social preference function is presented, complete with a range of uncertainty. The modified method is found to be applicable to the task--no insurmountable difficulties are encountered. Recommendations are presented, based on our experience, for other investigators who may be interested in reapplying the method in other studies.
TL;DR: The main approaches to capacity identification proposed in the literature are reviewed and their advantages and inconveniences are discussed and their application is illustrated on a detailed example.
TL;DR: The Analytic Hierarchy Process (Saaty, 1977 and 1980) is a multiple criterion evaluation methodology that is both descriptive and prescriptive.
Abstract: The Analytic Hierarchy Process (Saaty, 1977 and 1980) is a multiple criterion evaluation methodology that is both descriptive and prescriptive. The Analytic Hierarchy Process (AHP) is, in many ways, similar to Multi Attribute Utility Theory. However, unlike MAUT, AHP does not prescribe that judgments be perfectly consistent, nor does it prescribe when or when not to allow for rank reversals. AHP allows the decision makers to decide how much inconsistency is reasonable, if any, and whether nor not rank reversal (a reflection of relative rather absolute worth) should be permitted.
TL;DR: In this paper, a decision-making model has been developed using the analytical hierarchy process (AHP) and multi-attribute utility technique (MAUT), which comprises four parts: selection criteria, dispute resolution strategies, collection of utility factors and selection criteria weightings.
Abstract: Disputes are inevitable in construction projects. Skills in dispute resolution should be part of the toolkit of any practitioner in a managerial position. Dispute resolution procedures such as litigation, arbitration, mediation, dispute adviser and negotiation are widely practised. However, frequently the question is how to systematically determine which dispute resolution strategy to adopt given the nature of disputes. Even though the topic of dispute resolution has been widely discussed and heavily researched, few studies have been conducted with respect to this question. A decision-making model has been developed using the analytical hierarchy process (AHP) and multi-attribute utility technique (MAUT). The model comprises four parts: selection criteria, dispute resolution strategies, collection of utility factors and selection criteria weightings. These were developed from empirical data collected through an interview survey with selected experts in the field. The model is designed to identify in a sys...
TL;DR: In this article, a measurement theoretic analysis of multi-attribute utility theory under a measurement-theoretic perspective is presented, which describes and classifies decision situations according to three salient aspects of choice: uncertainty, time-variability and multi-dimensionality.
Abstract: This 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 discussed. Measurement theoretic tests are described which separate between multi-attribute utility models in riskless and risky time invariant choice situations. Assessment procedures are outlined to encode utility functions for the representations developed, and experimental applications of multi-attribute utility theory are briefly reviewed.