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Relevant bibliographies by topics / Multi-Attribute Utility Theory (MAUT)

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Academic literature on the topic 'Multi-Attribute Utility Theory (MAUT)'

Author: Grafiati

Published: 19 February 2023

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Journal articles on the topic "Multi-Attribute Utility Theory (MAUT)"

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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 (April 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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Hadinata, Novri. "Implementasi Metode Multi Attribute Utility Theory (MAUT) Pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit." Jurnal Sisfokom (Sistem Informasi dan Komputer) 7, no. 2 (September 30, 2018): 87. http://dx.doi.org/10.32736/sisfokom.v7i2.562.

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PT. XYZ merupakan perusahaan pembiayaan otomotif yang ada di Indonesia, tempat penelitian penulis merupakan salah satu cabang yang ada di kota Palembang. Penentuan penerima kredit pada perusahaan tersebut masih manual dan memerlukan waktu yang lama dalam mengambil keputusan, darimaka itu untuk menyelesaikan masalah tersebut penulis memilih untuk membuat sistem pendukung keputusan menggunakan metode Multi Attribute Utility Theory (MAUT). SPK merupakan sistem informasi interaktif yang menyediakan informasi, pemodelan, dan pemanipulasian data. Multi Attribute Utility Theory (MAUT) adalah suatu metode perbandingan kuantitatif yang biasanya mengkombinasikan pengukuran atas biaya resiko dan keuntungan yang berbeda. Metode MAUT digunakan untuk merubah dari beberapa kepentingan kedalam nilai numerik dengan skala 0-1 dengan 0 mewakili nilai terburuk dan 1 nilai terbaik. Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit Pada PT. XYZ Menggunakan Metode Multi Attribute Utility Theory (MAUT) dibangun dengan menggunakan bahasa pemrograman PHP dan database MySQL

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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 (December 28, 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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Handayani, Fitri. "Analisis Multi Kriteria Analisis Multi Kriteria Menggunakan Multi Attribute Utility Theory Dalam Seleksi Penerima Beasiswa." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 9, no. 1 (March 16, 2022): 365–72. http://dx.doi.org/10.35957/jatisi.v9i1.1531.

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Politeknik Kampar adalah sebuah perguruan tinggi kejuruan di Kabupaten Kampar, Provinsi Riau. Penetapan penerima beasiswa di perguruan tinggi masih bersifat manual dan membutuhkan waktu yang lama untuk mengambil keputusan yang tepat. Permasalahan tersebut dapat dianalisis dengan menggunakan metode sistem pendukung keputusan Multi Attribute Utility Theory (MAUT) supaya proses pengambilan keputusan dapat lebih cepat dilakukan. Dimana analisis metode MAUT yang cocok untuk kriteria yang banyak. Kriteria penilaian yang digunakan terdiri dari 10 kriteria antara lain pendapatan orang tua, status kepemilikan rumah, kondisi perumahan, jumlah tanggungan, status orang tua, raport, prestasi akademik, prestasi non akademik, kegiatan ekstrakurikuler dan pengalaman berorganisasi dengan total 50 dataset. Proses penelitian terdiri dari literatur ilmiah, identifikasi masalah, pengumpulan data, analisis metode MAUT, pemeringkatan dan penarikan kesimpulan. Hasil penelitian dengan menggunakan metode MAUT dapat membantu tim seleksi penerima beasiswa dengan proses yang cepat, efektif dan objektif dalam proses pengambilan keputusan.

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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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Sari, Rita Novita, and Ratna Sri Hayati. "Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost." J-SAKTI (Jurnal Sains Komputer dan Informatika) 3, no. 2 (September 13, 2019): 243. http://dx.doi.org/10.30645/j-sakti.v3i2.144.

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The development of information technology is currently developing rapidly. The use of information technology is very broad in various fields of life. The choice of boarding house is one of the things that is not easy to do. The problem often faced when choosing a boarding house is that boarders find it difficult to get information about boarding houses. Decision support system is a method that helps in making decisions on a particular problem, where no one can make a definite decision. Multi Attribute Utility Theory (MAUT) is a method of decision making. MAUT is a method where looking for weighted sums of the same values in each utility in each attribute. By applying the MAUT method in the selection of boarding houses, it can give good suggestions or recommendations on boarding houses.

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THEETRANONT, CHUREE, PETER HADDAWY, and DONYAPRUETH KRAIRIT. "INTEGRATING VISUALIZATION AND MULTI-ATTRIBUTE UTILITY THEORY FOR ONLINE PRODUCT SELECTION." International Journal of Information Technology & Decision Making 06, no. 04 (December 2007): 723–50. http://dx.doi.org/10.1142/s0219622007002691.

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Effectively selling products online is a challenging task. Today's product domains often contain a dizzying variety of brands and models with highly complex sets of characteristics. This paper addresses the problem of supporting product search and selection in domains containing large numbers of alternatives with complex sets of features. A number of online shopping websites provide product choice assistance by making direct use of Multi-Attribute Utility Theory (MAUT). While the MAUT approach is appealing due to its solid theoretical foundations, there are several reasons that it does not fit well with people's decision making behavior. This paper presents an approach designed to better fit with people's natural decision making process. The system is called VMAP for Visualizing Multi-Attribute Preferences. VMAP provides on one screen both a multi-attribute preference tool (MAP-tool) and a product visualization tool (V-tool). The product visualization tool displays the set of available products, with each product displayed as a point in a 3D attribute space. By viewing the product space, users can gain an overview of the range of available products, as well as an understanding of the relationships between their attributes. The MAP-tool integrates expression of preferences and filter conditions, which are then immediately reflected in the V-tool display. In this way, the user can immediately see the consequences of his expressed preferences on the product space. The VMAP system is evaluated on a number of factors by comparing users' subjective ratings of the system to those of a more traditional MAUT product selection tool. The results show that while VMAP is somewhat more difficult to use than a traditional MAUT product selection tool, it provides better flexibility, provides the ability to more effectively explore the product domain, and produces more confidence in the selected product.

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Hayati, Ratna Sri, Sri Lestari Rahayu, and Andi Sanjaya. "Pemilihan Susu Formula Menggunakan Metode Multi Attribute Utility Theory (MAUT)." INFOSYS (INFORMATION SYSTEM) JOURNAL 6, no. 1 (August 3, 2021): 42. http://dx.doi.org/10.22303/infosys.6.1.2021.42-51.

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<em>Susu formula merupakan sumber nutrisi pada bayi yang tidak mendapatkan Air Susu Ibu (ASI). Susu formula juga memiliki kandungan gizi yang sangat tinggi. Kandungan gizi tersebut meliputi DHA, Karbohidrat, Protein, Lemak, Vitamin, Natrium dan lain sebagainya. Susu formula yang baik tidak menimbulkan gangguan saluran cerna seperti diare, muntah atau kesulitan buang air besar. batuk, sesak, dan gangguan kulit. Tujuan penelitian ini untuk mengetahui pemilihan susu formula oleh ibu balita. Dalam pemilihan susu formula yang ada dipasaran, diperlukan sebuah solusi dalam pengambilan keputusan. Dalam penelitian ini penulis menerapkan metode Multi Attribute Utility Theory(MAUT). Metode MAUT digunakan untuk menentukan sebuah alternatif pilihan berdasarkan bobot dan kriteria yang sudah ditentukan. Kemudian dilakukan proses perankingan yang akan menentukan alternatif yang terbaik. Alternatif pada penelitian ini ada 6 yaitu Susu S26, Susu Nutrilon Royal, Susu Bebelac, Susu Lagtogen, Susu Chilkid, dan Susu SGM. Sedangkan Kriteria yang digunakan ada 4 yaitu Harga Susu, Kandungan Gizi, Jenis Susu dan Ketersediaan Susu Dipasaran.</em>

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Perdana, Adidtya, and Arief Budiman. "Analysis of Multi-attribute Utility Theory for College Ranking Decision Making." SinkrOn 4, no. 2 (March 17, 2020): 19. http://dx.doi.org/10.33395/sinkron.v4i2.10232.

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Ranking of a tertiary institution, both state and private universities, can be the basis of the tertiary institutions of interest to prospective new students. The better the ranking of the college, the more popular the campus. In this study the author discusses the case of campus ranking in the city of Medan where the results to be received are the best campus decision making with the method used is the MAUT (Multi Attribute Utility Theory) method. The aim is to see what results can be given by using the MAUT method in determining the best campus in the city of Medan which results in ranking the campus in Medan. Does it provide optimal results or not. But every case that is solved using the methods in artificial intelligence, in this case the MAUT method is a method of the Decision Support System, certainly provides optimal results even though the results given are not complete or complete. Therefore, the writer has a vision going forward, conducting research in this field, especially for the case of campus ranking. In this study the variables used in determining campus ranking are Institutional, Student Activities, Lecturer HR, Research and Community Service, and Innovation. These five variables in the future can be added or subtracted as needed. The results obtained are optimal ranking results but are still limited to the reference model for internal institutions.

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Nikou, Tina, and Leidy Klotz. "Application of multi-attribute utility theory for sustainable energy decisions in commercial buildings." Smart and Sustainable Built Environment 3, no. 3 (November 11, 2014): 207–22. http://dx.doi.org/10.1108/sasbe-01-2014-0004.

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Purpose – Despite substantial advances in technologies enhancing the energy efficiency of buildings, they remain the largest consumers of energy in the USA compared with other sectors. In addition, the current rating systems for sustainable buildings do not reflect all potential energy savings during the design, construction, and occupancy of the built environment. The purpose of this paper is to examine the application of multi-attribute utility theory (MAUT) as a framework for quantifying energy decisions made during the design phase of a building construction project. Design/methodology/approach – The MAUT method was applied to a case study, and the results were compared with subjective results from the decision makers. Analysis of the results suggested that MAUT is a decision analysis tool that could aid decision makers in communicating their decision criteria and expectations. Findings – Findings from this research suggest that using an analysis method provides the decision makers with a systematic way to include their concerns and preferences and specific requirements of the project along with the criteria for sustainable energy and the built environment at the same time. Using a multi-criteria, decision-making method provides the decision makers with quantitative information, which facilitates the comparison of alternatives. MAUT enabled the various stakeholders of the project to collaborate on the inputs of the problems and allowed the decision makers to communicate their priorities and expectations more effectively. Originality/value – The findings indicated that MAUT provides stakeholders with a quantitative and holistic approach to decision making in which they can track changes in parameters during the process. The implementation of MAUT as a decision analysis tool in designing construction projects ultimately could lead to better decision making for sustainable building designs.

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Dissertations / Theses on the topic "Multi-Attribute Utility Theory (MAUT)"

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Milatzo, John P. "An investigation of multi-attribute utility technology (MAUT) as an evaluation method in an organizational training environment." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-170354/.

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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.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 173-176).
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.
by John Stefancik.
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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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." Thesis, University of Ulster, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246728.

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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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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.
Universitat Oberta de Catalunya

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Books on the topic "Multi-Attribute Utility Theory (MAUT)"

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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. [s.l: 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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Book chapters on the topic "Multi-Attribute Utility Theory (MAUT)"

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Sarin, Rakesh K. "Multi-attribute utility theory." In Encyclopedia of Operations Research and Management Science, 526–29. New York, NY: 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, 63–72. London: 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, 1004–6. Boston, MA: 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, 190–200. Berlin, Heidelberg: 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, 13–25. Cham: 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, 944–50. Berlin, Heidelberg: 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, 490–99. Berlin, Heidelberg: 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, 239–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01535-0_18.

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Albalas, F. W., B. A. Abu-Alhaija, A. Awajan, A. Awajan, and Khalid Al-Begain. "Quality of Service for Multimedia and Real-Time Services." In Models for Capitalizing on Web Engineering Advancements, 241–62. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0023-2.ch013.

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New web technologies have encouraged the deployment of various network applications that are rich with multimedia and real-time services. These services demand stringent requirements are defined through Quality of Service (QoS) parameters such as delay, jitter, loss, etc. To guarantee the delivery of these services QoS routing algorithms that deal with multiple metrics are needed. Unfortunately, QoS routing with multiple metrics is considered an NP-complete problem that cannot be solved by a simple algorithm. This paper proposes three source based QoS routing algorithms that find the optimal path from the service provider to the user that best satisfies the QoS requirements for a particular service. The three algorithms use the same filtering technique to prune all the paths that do not meet the requirements which solves the complexity of NP-complete problem. Next, each of the three algorithms integrates a different Multiple Criteria Decision Making method to select one of the paths that have resulted from the route filtering technique. The three decision making methods used are the Analytic Hierarchy Process (AHP), Multi-Attribute Utility Theory (MAUT), and Kepner-Tregoe KT. Results show that the algorithms find a path using multiple constraints with a high ability to handle multimedia and real-time applications.

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"Multi-attribute utility theory." In Multi-Criteria Decision Analysis, 81–113. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118644898.ch4.

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Conference papers on the topic "Multi-Attribute Utility Theory (MAUT)"

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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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Soni, Rohan, Shubham Jha, Arpan Patel, Kishan Fuse, and Jay Vora. "Multi-response Optimization of Electric Discharge Machining Using Grey Relational Analysis (GRA) and Multi-attribute Utility Theory (MAUT)." In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2020. http://dx.doi.org/10.1109/iciea49774.2020.9101962.

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Kim, Tae-Hyun, Gu¨l E. Okudan, and Ming-Chuan Chiu. "Product Family Design Through Customer Perceived Utility." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29112.

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Even though functional characteristics and various forms can be measured directly and objectively, many designers and engineers still fail to clearly evaluate product criteria due to consumers’ subjective inputs, which change over time. To appropriately evaluate product criteria, an effective design decision making analysis is required. In this study, we propose a methodology to assure this harmony using a mobile phone product family design scenario. Customer perceived utility of design features are first gathered using a questionnaire (with more than 500 responses), and then modeled using multi-attribute utility theory (MAUT) to allow for clustering based on consumer demographics (e.g., race, gender, and age). Based on the clustering, several mobile phone models are tested for their fitness. The goal of the methodology is to determine the appropriate product family size in order to satisfy customer needs as well as reduce supply chain complexity.

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Wan, Jie, and Sundar Krishnamurty. "Comparison-Based Decision Making in Engineering Design." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dtm-8746.

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Abstract Engineering design has been increasingly viewed as a decision making process involving complex multiple criteria optimization. Many Multi-Attribute Utility Theory (MAUT)-based models exist to develop the single attribute functions and the weight assessment for the overall utility with individual strengths and drawbacks. Focusing on the efforts towards a consistent preference representation supported engineering design procedure, a binary comparison and indirect assessment based method is presented in this paper to efficiently aid the continuous multicriteria decision making in engineering design. Uniqueness of this approach lies in its ability to deal with issues such as the preference consistency and accuracy, decision maker’s cognitive burden, conditions of uncertainty and risk, dynamic and interactive modeling of the designer’s preference structure, and MAU-like aggregation of the system utilities. The many salient features of this comparison-based multiattribute utility approach include a novel inequality lottery strategy, an adaptive meshing based linear additive utility model, a linear programming based dynamic preference modeling and systematic consistency checking, and an efficient exploration of optimal solution set and sensitivity analysis. The development of this method and its utilization in engineering design are presented in the context of a mechanism parametric design problem and the results are discussed.

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Dolan, Bryan R., and Kemper E. Lewis. "Robust Product Family Consolidation and Selection Using the Hypothetical Equivalents and Inequivalents Method." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35522.

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The design and development of effective product lines is a challenge in modern industry. Companies must balance diverse product families that satisfy wide ranging customer demands with practical business needs such as combining manufacturing processes and using similar materials, for example. In this paper, the issue of consolidating an existing product family is addressed. Specifically, the Hypothetical Equivalents and Inequivalents Method (HEIM) is utilized in order to select an optimal product family configuration. In previous uses, HEIM has been shown to assist a decision maker in selecting one concept from a set when concept attributes conflict with each other. In this extension of HEIM, the optimization problem’s constraints are formulated using two different value functions, and common solutions are identified in order to select an optimal family of staplers. The result is then compared with the result found using a multi-attribute utility theory (MAUT) based approach. While each method has its advantages and disadvantages, and MAUT provides a necessary first step for product family consolidation and selection, a robust solution is achieved through HEIM.

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Yilan, Gulsah, Arif Ozcan, and Tanju Caglar. "Sustainable cardboard label production." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p14.

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Recently, all industrial sectors have shown significantly increasing attention in reaching the sustainability goals regarding economic, environmental, social, and also technological aspects not only at the regional level but also nationwide and even global scale. Aside from being an economically popular concept, sustainability is strictly related to effective resource use and efficient waste disposal. Thus, it functions as a complementary issue to be considered in various production activities. The sustainable production approach includes reducing or (if possible) eliminating the negative impacts on the human health and environment, reducing the waste generated, increasing the recycling rate, and developing energy and material saving processes. The printing industry is one of the most important industries in reaching sustainable production goals. The need for the printed products, which is the focus of this study, is increasing in parallel with the changing consumer expectations and technological developments. However, from the point of the printing industry view, a solid sustainability consensus is not settled among the practitioners, yet. This study aims to evaluate the sustainability of the cardboard label production considering several combinations of raw materials such as paper, ink, and surface coating additives via appropriate Multi-Criteria Decision Analysis (MCDA) methods. The most frequently used paper and ink types are considered with three alternatives for each. To indicate the sustainability scores economic, environmental, and social evaluation criteria are selected. By applying the Multi-Attribute Utility Theory (MAUT), the sustainability score of each label is calculated to determine the optimum alternative in terms of the production process and also the material used. This evaluation provides detailed information to the producer and also to the consumer about the alternative production routes to use less energy and raw material, and also to decrease the environmental impacts while sustaining the economic feasibility. Besides, alternative solutions are offered to reach sustainability goals by considering the economic and environmental life cycle impacts of these materials. Hence, an increase in awareness about the printing industry and service channels is expected. Moreover, this study is also important in presenting the applicability of sustainability assessments in the printing industry.

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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. Reston, VA: 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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Reports on the topic "Multi-Attribute Utility Theory (MAUT)"

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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. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada410662.

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