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Relevant bibliographies by topics / Multi attribute utility theory

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Academic literature on the topic 'Multi attribute utility theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 June 2025

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Journal articles on the topic "Multi attribute utility theory"

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HengLi Yang, and HsiaoFang Yang. "Recommendation Mechanism Based on Multi-attribute Utility Theory." International Journal of Digital Content Technology and its Applications 5, no. 3 (2011): 373–82. http://dx.doi.org/10.4156/jdcta.vol5.issue3.37.

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Sarjerao Patil, Shivraj, D. N. Mudgal, and S. B. Patil. "Multi-Attribute Utility Theory for Contractor Pre-Qualification." International Journal of Civil Engineering 3, no. 7 (2016): 136–40. http://dx.doi.org/10.14445/23488352/ijce-v3i7p128.

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Raju, Komaragiri Srinivasa, and A. Vasan. "Multi attribute utility theory for irrigation system evaluation." Water Resources Management 21, no. 4 (2006): 717–28. http://dx.doi.org/10.1007/s11269-006-9060-0.

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Ma, Jungmok. "Multi-Attribute Utility Theory Based K-Means Clustering Applications." International Journal of Data Warehousing and Mining 13, no. 2 (2017): 1–12. http://dx.doi.org/10.4018/ijdwm.2017040101.

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One 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. Using MAUT, the decision maker's value structure for the number of clusters and other attributes can be quantitatively modeled, and it can be used as an objective function of the k-means. A target clustering problem for military targeting process is used to demonstrate the MAUT-based k-means and provide a comparative study. The result shows that the existing clustering algorithms do not necessarily reflect user preferences while the MAUT-based k-means provides a systematic framework of preferences modeling in cluster analysis.

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Minamino, Yuka, Shinji Inoue, and Shigeru Yamada. "Multi-Attribute Utility Theory for Estimation of Optimal Release Time and Change-Point." International Journal of Reliability, Quality and Safety Engineering 22, no. 04 (2015): 1550019. http://dx.doi.org/10.1142/s0218539315500199.

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Existing optimal software release problems have been discussed by using an evaluation criterion such as cost, reliability, delivery. When we use the methods by those evaluation criteria, the optimal release time is determined by an evaluation criterion. However, it is more realistic that we determine the optimal release time with multiple attributes. Therefore, in this study, we estimate the optimal release time by using multi-attribute utility theory (MAUT). Since MAUT is one of utility theories, we can estimate an optimal release time and change-point from the perspective of utility by maximizing the multi-attribute utility function. Especially, we consider the both of two attributes: cost and reliability. Then, we apply a software reliability growth model (SRGM) with change-point to represent the cost and reliability attributes. Concretely, we use an exponential SRGM with change-point. That is, we can estimate not only the optimal release time but also change-point. Finally, we show numerical examples by using actual data sets. Especially, we check the behavior of the optimal release time, change-point, total software cost and utility.

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Gumasta, Kapil, Santosh Kumar Gupta, Lyes Benyoucef, and M. K. Tiwari. "Developing a reconfigurability index using multi-attribute utility theory." International Journal of Production Research 49, no. 6 (2011): 1669–83. http://dx.doi.org/10.1080/00207540903555536.

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Zietsman, Josias, Laurence R. Rilett, and Seung-Jun Kim. "Transportation corridor decision-making with multi-attribute utility theory." International Journal of Management and Decision Making 7, no. 2/3 (2006): 254. http://dx.doi.org/10.1504/ijmdm.2006.009147.

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Kailiponi, Paul. "Analyzing evacuation decisions using multi-attribute utility theory (MAUT)." Procedia Engineering 3 (2010): 163–74. http://dx.doi.org/10.1016/j.proeng.2010.07.016.

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Brennan, Patricia F., and Mary K. Anthony. "Measuring nursing practice models using multi-attribute utility theory." Research in Nursing & Health 23, no. 5 (2000): 372–82. http://dx.doi.org/10.1002/1098-240x(200010)23:5<372::aid-nur4>3.0.co;2-z.

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Sunardi, Rusydi Umar, and Dewi Sahara. "Best Employee Decision Using Multi Attribute Utility Theory Method." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 6 (2022): 945–51. http://dx.doi.org/10.29207/resti.v6i6.4318.

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Selection of the best employee is a form of appreciation that can be shown by the company for the achievements of its employees. This appreciation can motivate employees to be more enthusiastic in improving their performance at work. Appropriate evaluation and decision-making methods need to be taken so that the best employee selection process runs objectively, transparently, and in accordance with established standards. This study aimed to select the best employee candidates at PT Kerry Express Indonesia using the multi attribute utility theory (MAUT) method. The criteria for the selection process as follows: attendance (weight = 2), output obtained (weight = 3), discipline (weight = 3), and reporting (weight= 2). The employees in this study were 30 respondents from 150 populations. The assessment was carried out for three months from January to April 2022. The calculations were carried out using the Microsoft Access tool. The results of calculations using the MAUT method show that the highest rank among all candidates has a score of 7.75 while the lowest rank had a score of 3.25. It can be concluded that the MAUT method can be used to select the best employees at PT. Kerry Express Indonesia effectively and efficiently.

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Dissertations / Theses on the topic "Multi attribute utility theory"

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Stefancik, John. "Demand forecasting using Monte Carlo Multi-Attribute Utility Theory." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104825.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 173-176).<br>Volatile commodity prices over the past decade, environmentally-focused policy initiatives and new technology developments have forced manufacturers to consider the idea of substituting towards alternative materials in order meet both consumer and societal needs. The threat of substitution has created the need for manufacturing firms and other members of the supply chain to have the ability to understand the implications of substitution on future product market shares and overall raw material demand. This thesis demonstrates how Multi-Attribute Utility Theory (MAUT) can be extended to the group level to forecast future market shares by applying a distribution to the attribute weights and using a Monte Carlo simulation to capture the choices made by a heterogeneous set of decision makers. Unlike established demand forecasting techniques, such as discrete choice models, this methodology requires only a few data points from a handful of expert interviews and allows for systematic changes of preferences over time. Furthermore, the Monte Carlo MAUT methodology utilizes both revealed preference and stated preference data by integrating the two data types through a response surface methodology. Two case studies on underground distribution and overhead distribution power cables are explored in order to illustrate how the Monte Carlo MAUT methodology can be successfully applied in cases where there are diverse product types, limited numbers of decisions makers and historical market share data is sparse. Each case study illustrates how Monte Carlo MAUT can, on a regional basis, provide key insights into the impacts of changing commodity prices, changing product attribute levels, varying new technology learning rates and changing consumer preferences over time. Furthermore, an example of how Monte Carlo MAUT can be utilized to help policymakers evaluate the advantages, disadvantages and overall impact of different policy schemes within an environmental context is provided. Private firms and public governments alike can utilize Monte Carlo MAUT to improve their understanding of how market shares are likely to change over time, and more importantly, the key decisions needed on each party's behalf in order to maximize societal well-being.<br>by John Stefancik.<br>S.M. in Technology and Policy

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Wang, Chen. "Modeling multi-attribute utility theory with object-oriented programming." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-01122010-020130/.

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Vajda, Joshua Lewis. "Evaluation and Selection of Oil Shale Extraction Methods Using Multi-Attribute Utility Theory." Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28256190.

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In the United States, on-site (in-situ) oil shale extraction methods are underutilized, leading to a potential loss of $20 billion per year in profit. On-site oil shale extraction methods are not considered when discussing large-scale oil shale extraction operations. Off-site (ex-situ) extraction remains the only commercialized method, but on-site extraction is showing considerable promise. The on-site methods allow for the exploitation of deeper oil shale prospects, which have the potential of producing up to 1.32 trillion barrels of oil. Oil shale is an unconventional hydrocarbon resource that must be considered part of the overall energy solution. There are two general methods for extracting oil shale resources: off-site extraction and on-site extraction. The off-site method consists of surface mining and above ground heating. The on-site methods consist of well drilling, well completion, and underground heating. Due to their technical differences, a comparison of the methods is difficult. This praxis seeks to inform the selection of oil shale extraction methods using a multi-attribute utility function as part of a decision tool. The tool consists of three components: the oil production model, the cost model, and the decision model. The practical application of the tool is to bring on-site extraction methods into the conversation. The Piceance Basin, located in western Colorado, is used to show the application of the tool in the field. With the ability to evaluate different extraction methods and process-heating options using the decision tool, the exploitation of more oil shale is possible. Multi-criteria decision-making methods have seen increased use in process industries. Decision making in mining and offshore oil and gas exploration provides useful insights into how decisions are made and how decision analysis could be used for oil shale projects. When evaluating distinct oil shale extraction alternatives, a decision tool, built around multi-attribute utility theory, simulation, and regression analysis provides the best vehicle for systematic decision making.

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Chang, Jin O. "A generalized decision model for naval weapon procurement multi-attribute decision making /." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001025.

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Phillips, Steve. "OVID-BV : optimising value in decision making for best value in the UK social housing sector." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/3530.

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The Governments' promotion and support of Best Value within the Social Housing Sector has been a prime catalyst in the move by Registered Social Landlord's [RSL's] away from the traditional culture of acceptance of the lowest bid towards consideration of both price and quality criteria as a basis for contractor selection. Manifestly this radical change in the way the sector procures its construction services has forced many of its stakeholders to undergo significant cultural and organisational changes within a relatively short period of time, and problems have developed during this transitional period that have affected the efficiency of the best value process. This research traced the root causes of these problems and its overarching aim was to develop an approach which will enable RSL's and their stakeholders to streamline the best value tender analysis procedure thereby allowing tenders to be dealt with effectively and efficiently whilst also creating a transparent and auditable decision making process. The approach has been established using a mixed methods research methodology utilising; case studies, surveys, rational decision analysis and system evaluation. The main output of the research is the development of a support tool known by the acronym OVID-BV which aids the multi objective decision making process. The underlying rationale for the support tool is based on the innovative use of uncertainty in decision making and the functionality of the tool uses a combination of the analytical hierarchy process (AHP), multi attribute utility theory (MAUT) and whole life costing (WLC).

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Aulicino, Coutanceau Patricia. "Gestion de risques dans le secteur de la construction : proposition de méthode pour la phase d'exécution." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01E065.

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Pourquoi la gestion des risques est-elle si peu appliquée aux projets de construction ? Est-ce dû aux acteurs qui ne sont pas capables d’incorporer des nouveaux méthodes ou sont les méthodes qui ne sont pas du tout adaptées aux spécificités de la construction ? L’objectif principal de cette recherche est de proposer une méthode d’analyse de risques qui soit adapté au contexte de la construction, notamment pour les entreprises qui sont responsable pour les travaux du projet de construction. Pour atteindre cet objectif, la recherche a été partagé en deux parties : une première partie contenant les quatre premiers chapitres qui présente le contexte, l'organisation, les acteurs, les phases des projets de la construction à partir d’une recherche bibliographique et de la présentation des deux cas. qui ont connu des accidents graves. La deuxième partie est composée par les quatre derniers chapitres qui approchent les méthodes existantes et proposent une méthode développée à partir de la théorie d’utilité multi-attributs. Cette méthode dynamique et évolutive est proposée de façon que les perspectives des différents niveaux de décision au sein de la même entreprise responsable pour les travaux dans la phase d’exécution du projet de construction soit prise en compte face à la gestion des risques du projet cette manière d’améliorer la performance des projets, en réduisant des accidents, des retards et conséquemment les surcoûts et qui prend en compte la perspective<br>Why is risk management so little applied to construction projects? Is it due to actors who are not able to incorporate new methods or methods that are not applicable at all to the specificities of construction? The main objective of this research is to propose a method of risk analysis that is adapted to the context of construction, especially for companies that areresponsible for the work of the construction project. To achieve this objective, the research was divided into two parts: a first part containing the first four chapters which presents thecontext, the organization, the actors, the phases of the construction projects based on a bibliographic search and the presentation of the two cases. who have experienced seriousaccidentsThe second part is composed by the last four chapters which approach the existing methods and propose a method developed from the theory of utility multi attributes. This dynamic and evolutive method is proposed in such a way that the perspectives of the different levels ofdecision within the same company responsible for the works in the execution phase of the construction project are taken into account in the face of the risk management of the project, to improve the performance of projects, by reducing accidents, delays and consequently extracosts, and taking into account the perspective

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Petrillo, Jennifer. "Development and validation of the EXACT-U* to report utilities for COPD exacerbations : a comparison of statistical inference and multi-attribute utility theory method." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549744.

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Pudney, Steven Grant. "Asset renewal decision modelling with application to the water utility industry." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/40933/1/Steven_Pudney_Thesis.pdf.

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Reliable infrastructure assets impact significantly on quality of life and provide a stable foundation for economic growth and competitiveness. Decisions about the way assets are managed are of utmost importance in achieving this. Timely renewal of infrastructure assets supports reliability and maximum utilisation of infrastructure and enables business and community to grow and prosper. This research initially examined a framework for asset management decisions and then focused on asset renewal optimisation and renewal engineering optimisation in depth. This study had four primary objectives. The first was to develop a new Asset Management Decision Framework (AMDF) for identifying and classifying asset management decisions. The AMDF was developed by applying multi-criteria decision theory, classical management theory and life cycle management. The AMDF is an original and innovative contribution to asset management in that: · it is the first framework to provide guidance for developing asset management decision criteria based on fundamental business objectives; · it is the first framework to provide a decision context identification and analysis process for asset management decisions; and · it is the only comprehensive listing of asset management decision types developed from first principles. The second objective of this research was to develop a novel multi-attribute Asset Renewal Decision Model (ARDM) that takes account of financial, customer service, health and safety, environmental and socio-economic objectives. The unique feature of this ARDM is that it is the only model to optimise timing of asset renewal with respect to fundamental business objectives. The third objective of this research was to develop a novel Renewal Engineering Decision Model (REDM) that uses multiple criteria to determine the optimal timing for renewal engineering. The unique features of this model are that: · it is a novel extension to existing real options valuation models in that it uses overall utility rather than present value of cash flows to model engineering value; and · it is the only REDM that optimises timing of renewal engineering with respect to fundamental business objectives; The final objective was to develop and validate an Asset Renewal Engineering Philosophy (AREP) consisting of three principles of asset renewal engineering. The principles were validated using a novel application of real options theory. The AREP is the only renewal engineering philosophy in existence. The original contributions of this research are expected to enrich the body of knowledge in asset management through effectively addressing the need for an asset management decision framework, asset renewal and renewal engineering optimisation based on fundamental business objectives and a novel renewal engineering philosophy.

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Casanovas-Rubio, Maria del Mar, Carolina Christen, Luz María Valarezo, Jaume Bofill, Nela Filimon, and Jaume Armengou. "Decision-making tool for enhancing the sustainable management of cultural institutions: Season content programming at Palau De La Música Catalana." MDPI AG, 2020. http://hdl.handle.net/10757/656665.

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There has been an increasing relevance of the cultural sector in the economic and social development of different countries. However, this sector continues without much input from multi-criteria decision-making (MDCM) techniques and sustainability analysis, which are widely used in other sectors. This paper proposes an MCDM model to assess the sustainability of a musical institution’s program. To define the parameters of the proposed model, qualitative interviews with relevant representatives of Catalan cultural institutions and highly recognized professionals in the sector were performed. The content of the 2015–2016 season of the ‘Palau de la Música Catalana’, a relevant Catalan musical institution located in Barcelona, was used as a case study to empirically test the method. The method allows the calculation of a season value index (SVI), which serves to make more sustainable decisions on musical season programs according to the established criteria. The sensitivity analysis carried out for different scenarios shows the robustness of the method. The research suggests that more complex decision settings, such as MCDM methods that are widely used in other sectors, can be easily applied to the sustainable management of any type of cultural institution. To the best of the authors’ knowledge, this method was never applied to a cultural institution and with real data.<br>Universitat Oberta de Catalunya

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Samstad, Anna. "Värdering av kriterier vid stora investeringar : En jämförelse mellan olika intressenters uppskattningar av kriterier." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28064.

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In what way does different stakeholders assess a decision and its consequences, and how do these assessments differ? When a company stands before a big decision, they need to consider aspects that are economic, ecologic and social. To make a good decision they need to consider the society and its different stakeholder groups. This study examined how different groups values and weights different criteria. The study has been done with the project Sundsvall logistics park as a case, with criteria related to that project. The goal of the study was to find a way to value and weight different criteria and then compare how the company and the stakeholders assesses these criteria. This has been done through interviews with relevant people that has got extra knowledge about the project Sundsvall logistics park, and through a survey that has been sent out to residents of Sundsvall. The informants and respondents got to assess values and weights to the criteria relative to an indirect alternative where the logistics park isn’t built. The data was then compiled using multi attribute utility theory as a tool to present the comparison. The result of the study suggests that the differences between the valuations and weightings of the criteria is partly due to an uncertainty in how the logistics park would affect the criteria, but that the biggest reason probably depends on what perspective the person is viewing the logistics park from. If the person is viewing the logistics park from an industrial perspective, the criteria related to industrial development is getting more important and is going to take up more room in the analysis. If the person is viewing the logistics park from an individual and social perspective, the criteria related to that is more important and takes up more room in the analysis.<br>På vilket sätt uppskattar olika intressenter ett beslut och dess konsekvenser, och hur skiljer sig dessa uppskattningar åt? När företag idag står inför stora beslut behöver de ta hänsyn till aspekter som är både ekonomiska, ekologiska och sociala. För att beslutet ska bli bra behöver de ta hänsyn till samhället och dess olika intressentgrupper. Denna studie är en undersökning av hur olika grupper värderar och viktar olika kriterier. Studien har utförts mot projektet Sundsvall Logistikpark med kriterier relaterade till projektet. Målet med studien har varit att hitta ett sätt att värdera och vikta olika kriterier för att sedan göra en jämförelse av hur företaget och intressenterna uppskattar dessa kriterier. För att göra detta har intervjuer utförts med personer som är extra insatta i projektet med Sundsvall logistikpark och en enkät skickats ut till boende i Sundsvall. Informanterna och respondenterna har fått uppskatta värden och vikter på kriterierna utifrån ett indirekt alternativ där logistikparken inte byggs. Datan har sedan sammanställts genom att använda multiattributsnyttoteori som verktyg för att presentera jämförelsen. Resultatet av undersökningen tyder på att de skillnader som finns i värderingar och viktningar av kriterierna dels beror på en viss osäkerhet angående hur logistikparken skulle kunna påverka de olika kriterierna och hur ett värde kan uppskattas på dessa, men att den största orsaken troligen beror på vilket perspektiv personen ser logistikparken på. Om personen ser på logistikparken från ett industriellt perspektiv blir kriterier som har med industriell utveckling att göra viktigare och tar större plats i analysen. Om personen ser på logistikparken från ett individuellt och socialt perspektiv blir sådana kriterier viktigare och tar större plats i analysen

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Books on the topic "Multi attribute utility theory"

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Berthelot, Jean-Marie. The calculation of health-adjusted life expectancy for a Canadian province using a multi-attribute utility function: A first attempt. Statistics Canada, 1992.

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Knox, Jeffrey Wallace. The application of multi-attribute utility techniques (MAUT) to evaluate the access of railway stations with respect to people with mobility impairments. The Author], 2000.

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Selecting Remediation Technologies Through A 'Technical Risk' Index. An Application of Multi-Attribute Utility Theory. Storming Media, 1996.

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Thatcher, Sherry M. B. Moving Beyond a Categorical Approach to Diversity: The Role of Demographic Faultlines. Edited by Quinetta M. Roberson. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199736355.013.0004.

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Recent research has suggested a conciliation of the different approaches to conceptualizing diversity through a theory of group faultlines, which are dividing lines that may split a group into subgroups based on the alignment of demographic attributes. This chapter will discuss the theory underlying faultlines and the findings of research in this area. Further, it will argue for how multi-attribute conceptualizations of diversity may be used to more accurately represent complex interactions between people and allow for more appropriate tests of the effects of heterogeneity in groups. This chapter concludes with a number of questions that faultline researchers may consider in the future.

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Book chapters on the topic "Multi attribute utility theory"

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Sarin, Rakesh K. "Multi-attribute utility theory." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_644.

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Mateo, José Ramón San Cristóbal. "Multi-Attribute Utility Theory." In Multi Criteria Analysis in the Renewable Energy Industry. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2346-0_10.

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Sarin, Rakesh K. "Multi-attribute Utility Theory." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_644.

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Malakooti, B. "A Nonlinear Multi-Attribute Utility Theory." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-46536-9_12.

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Garmabaki, A. H. S., Alireza Ahmadi, and Mahdieh Ahmadi. "Maintenance Optimization Using Multi-attribute Utility Theory." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23597-4_2.

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Kabassi, Katerina, and Maria Virvou. "Combination of a Cognitive Theory with the Multi-attribute Utility Theory." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45224-9_126.

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Ferreira, Rodrigo J. P., Adiel T. de Almeida, and Cristiano A. V. Cavalcante. "Selection of Inspection Intervals Based on Multi-attribute Utility Theory." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37140-0_37.

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Maravanyika, Munyaradzi, and Nomusa Dlodlo. "Selecting Attributes for Inclusion in an Educational Recommender System Using the Multi-attribute Utility Theory." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01535-0_18.

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Jansen, Sylvia J. T. "The Multi-attribute Utility Method." In The Measurement and Analysis of Housing Preference and Choice. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8894-9_5.

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Weirich, Paul. "Multi-Attribute Approaches to Risk." In Handbook of Risk Theory. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1433-5_20.

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Conference papers on the topic "Multi attribute utility theory"

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Sodhi, Ranjana. "Evaluating PMU site performance with multi attribute utility theory." In 2013 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2013. http://dx.doi.org/10.1109/isgt-asia.2013.6698757.

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Chang, Wei-Lun. "Using Multi-attribute Utility Theory to Rank and Select Co-branding Partners." In 2008 Eighth International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2008. http://dx.doi.org/10.1109/isda.2008.220.

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Liu, Ping, Qiming Li, and Xin Wan. "Optimizing a Construction Planning Schedule Based on the Multi-Attribute Utility Theory." In International Conference on Construction and Real Estate Management 2016. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480274.050.

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Pang, Ming-bao, and Xin-ping Zhao. "Coordinative development of regional logistics system by using multi-attribute utility function theory." In 2008 IEEE International Conference on Management of Innovation & Technology (ICMIT 2008). IEEE, 2008. http://dx.doi.org/10.1109/icmit.2008.4654514.

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Liu, Hong-yu, and Ying Li. "Coordinative development of urban traffic and transportation system using multi-attribute utility theory." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5567362.

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Gunawan, Heri, and Hari Ramadhan. "Increased Accuracy of Selection High Performing Employees Using Multi Attribute Utility Theory (MAUT)." In 2018 6th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2018. http://dx.doi.org/10.1109/citsm.2018.8674060.

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Thevenot, Henri J., Elizabeth D. Steva, Gül E. Okudan, and Timothy W. Simpson. "A Multi-Attribute Utility Theory-Based Approach to Product Line Consolidation and Selection." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2006. http://dx.doi.org/10.1115/detc2006-99506.

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Otto, Kevin N., and Erik K. Antonsson. "The Method of Imprecision Compared to Utility Theory for Design Selection Problems." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0018.

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Abstract:

Abstract Two methods have been proposed for manipulating uncertainty reflecting designer choice: utility theory and the method of imprecision. Both methods represent this uncertainty across decision making attributes with zero to one ranks, higher preference modeled with a higher rank. The two methods can differ, however, in the combination metrics used to combine the ranks of the incommensurate design attributes. Utility theory resolves the multi-attributes using various well proven additive metrics. In contrast, the method of imprecision resolves by also considering non-additive metrics, such as ranking by the worst case performance or by multiplicative metrics. The axioms of utility theory are appropriate for designs where it is deemed the attributes can always be traded off, even to the point of achieving zero preference in some attributes. In the case of a design with attributes which cannot have zero preference, such as stress limits or maximum allowed cost, the method of imprecision is more appropriate: it trades off attribute levels without permitting any of them to be traded off to zero performance.

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Marco, Robert, Anik Vega Vitianingsih, Anastasia Lidya Maukar, Erri Wahyu Puspitarini, and Seftin Fitri Ana Wati. "Spatial data modeling for mapping of slum region using multi-attribute utility theory method." In 2021 4th International Conference on Information and Communications Technology (ICOIACT). IEEE, 2021. http://dx.doi.org/10.1109/icoiact53268.2021.9564004.

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Mihuandayani, Mihuandayani, Rillya Arundaa, and Virginia Tamuntuan. "Decision Support System for Employee Recruitment of A Company Using Multi Attribute Utility Theory." In 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2020. http://dx.doi.org/10.1109/icoris50180.2020.9320817.

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Reports on the topic "Multi attribute utility theory"

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Silsdorf, Maria E. Use of Multi-Attribute Utility Theory to Quantify the Desirability of Boiling Water Reactor Hydraulic Control Unit Maintenance Options. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410662.

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Meyers, C., A. Lamont, and A. Sicherman. Use of Multi-attribute Utility Functions in Evaluating Security Systems. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/945554.

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Davis, F., K. Kuzio, K. Sorenson, R. Weiner, and T. Wheeler. A Multi-Attribute Utility Decision Analysis for Treatment Alternatives for the DOE/SR Aluminum-Based Spent Nuclear Fuel. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/1577.

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Fabrizi, Michael A. Use of Ill-Informed Multiple Attribute Utility Theory for Deciding Which of Two Management Information Systems to Purchase. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada225210.

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