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Journal articles on the topic 'Leveraging Multi-Attribute Utility Theory'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Lakshmi, Narasimhan Srinivasagopalan. "A Cloud-Based Framework for Personalized Health Insurance Recommendations: Leveraging Multi-Attribute Utility Theory for Enhanced User Experience." European Journal of Advances in Engineering and Technology 10, no. 12 (2023): 99–107. https://doi.org/10.5281/zenodo.14274707.

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The Health Insurance Marketplace aims to simplify the selection process for consumers by allowing them to compare insurance plans based on cost, coverage, and quality. However, existing web-based tools lack personalized recommendation capabilities that cater to individual user needs. This paper introduces a novel cloud-based framework designed to provide customized health insurance plan recommendations using Multi-Attribute Utility Theory (MAUT). Our framework enables users to evaluate plans on key parameters, including premium, co-pay, deductibles, co-insurance, and maximum benefits, offering

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Researcher. "A Cloud-Based Framework for Personalized Health Insurance Recommendations: Leveraging Multi-Attribute Utility Theory for Enhanced User Experience." European Journal of Advances in Engineering and Technology 10, no. 12 (2023): 99–107. https://doi.org/10.5281/zenodo.14598952.

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The Health Insurance Marketplace aims to simplify the selection process for consumers by allowing them to compare insurance plans based on cost, coverage, and quality. However, existing web-based tools lack personalized recommendation capabilities that cater to individual user needs. This paper introduces a novel cloud-based framework designed to provide customized health insurance plan recommendations using Multi-Attribute Utility Theory (MAUT). Our framework enables users to evaluate plans on key parameters, including premium, co-pay, deductibles, co-insurance, and maximum benefits, offering

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Munawarah, Munawarah, Wahyu Fuadi, and Hafizh Al Kautsar Aidilof. "Student Learning Style Decision-Making System Using the Multi-Attribute Utility Theory Method at SMA Negeri 1 Jangka." International Journal of Engineering, Science and Information Technology 5, no. 2 (2025): 320–27. https://doi.org/10.52088/ijesty.v5i2.842.

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Education plays a vital role in shaping individual development and national progress. One key factor influencing learning effectiveness is students' learning styles, which determine how individuals absorb, organize, and process information. Understanding these differences is crucial for designing effective teaching methods. This research develops a Decision Support System (DSS) to determine student learning styles at SMA Negeri 1 Jangka using the Multi-Attribute Utility Theory (MAUT) method. MAUT is chosen for its ability to evaluate multiple criteria, convert them into numerical values, and s

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Eldesouky, Mohamed, Marcus Vinicius Pereira Pessoa, and Vlad Stefanovici. "LEVERAGING MISSION SOLUTION CONFIGURATION THROUGH MBSE AND TRADESPACE EXPLORATION." INCOSE International Symposium 34, no. 1 (2024): 2028–47. http://dx.doi.org/10.1002/iis2.13254.

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AbstractThales is a worldwide leader in innovative radar and mission solution systems used by naval ships. As the demand for personalized products increased through time, Thales shifted from a project‐oriented to a product‐oriented approach. This shift aims to capitalize on variants, minimize customization, and streamline operations. In this context, Thales established a mission solution configuration process (SCP) to facilitate the selection of product variants to compose a system during the bidding phase. However, the current SCP has limitations, constraining exploration and integration with

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Bhola, Prabha, Alexandros-Georgios Chronis, Panos Kotsampopoulos, and Nikos Hatziargyriou. "Business Model Selection for Community Energy Storage: A Multi Criteria Decision Making Approach." Energies 16, no. 18 (2023): 6753. http://dx.doi.org/10.3390/en16186753.

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This paper explores business models for community energy storage (CES) and examines their potential and feasibility at the local level. By leveraging Multi Criteria Decision Making (MCDM) approaches and real-world case studies in Europe and India, it presents insights into CES deployment opportunities, challenges, and best practices. Different business models, including community energy cooperatives, utility–community partnerships, demand response, energy services, and market mechanisms, are analyzed. The proposed method combines the MCDM method PROMETHEE II with the fuzzy set theory to obtain

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Rai, Anil Kumar, Arun Kumar Maurya, Ritesh Kumar Sharma, and Mansi Singh. "Modelling Analysis and Characteristics of Multi-Level Inverter for Integrating Solar PV System to Grid." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 125, no. 2 (2024): 82–92. https://doi.org/10.37934/arfmts.125.2.8292.

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This paper investigates the implementation of a cascaded H-bridge multi-level inverter in a single-phase grid-connected solar photovoltaic (PV) system to address harmonic distortion challenges in DC-to-AC power conversion. The primary objective is to enhance power quality and system efficiency by leveraging the inverter's ability to reduce harmonics through power sharing and a lower switching frequency. A Simulink model is developed to evaluate the proposed system's performance, incorporating a unipolar Pulse Width Modulation (PWM) control strategy and an LCL filter for effective harmonic miti

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Syau, Yu-Ru, En-Bing Lin, and Churn-Jung Liau. "An Order-Theoretic Study on Formal Concept Analysis." Axioms 12, no. 12 (2023): 1099. http://dx.doi.org/10.3390/axioms12121099.

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This paper employs an order-theoretic framework to explore the intricacies of formal concepts. Initially, we establish a natural correspondence among formal contexts, preorders, and the resulting partially ordered sets (posets). Leveraging this foundation, we provide insightful characterizations of atoms and coatoms within finite concept lattices, drawing upon object intents. Expanding from the induced poset originating from a formal context, we extend these characterizations to discern join-irreducible and meet-irreducible elements within finite concept lattices. Contrary to a longstanding mi

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Şenel, Güzide. "An Innovative Algorithm Based on Octahedron Sets via Multi-Criteria Decision Making." Symmetry 16, no. 9 (2024): 1107. http://dx.doi.org/10.3390/sym16091107.

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Octahedron sets, which extend beyond the previously defined fuzzy set and soft set concepts to address uncertainty, represent a hybrid set theory that incorporates three distinct systems: interval-valued fuzzy sets, intuitionistic fuzzy sets, and traditional fuzzy set components. This comprehensive set theory is designed to express all information provided by decision makers as interval-valued intuitionistic fuzzy decision matrices, addressing a broader range of demands than conventional fuzzy decision-making methods. Multi-criteria decision-making (MCDM) methods are essential tools for analyz

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Peres da Silva, Rafael, Chayaporn Suphavilai, and Niranjan Nagarajan. "TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings." Bioinformatics 37, Supplement_1 (2021): i76—i83. http://dx.doi.org/10.1093/bioinformatics/btab299.

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Abstract Motivation Large-scale cancer omics studies have highlighted the diversity of patient molecular profiles and the importance of leveraging this information to deliver the right drug to the right patient at the right time. Key challenges in learning predictive models for this include the high-dimensionality of omics data and heterogeneity in biological and clinical factors affecting patient response. The use of multi-task learning techniques has been widely explored to address dataset limitations for in vitro drug response models, while domain adaptation (DA) has been employed to extend

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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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Tamura, Hiroyuki. "Multi-agent utility theory for ethical conflict resolution." Journal of Telecommunications and Information Technology, no. 3 (September 30, 2002): 37–39. http://dx.doi.org/10.26636/jtit.2002.3.135.

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In this paper we try to construct a two-attribute group disutility function for two conflicting decision makers, taking into account the property of utility independence and/or convex dependence between them. Two variables in the group utility function are disutility levels of two conflicting decision makers. The disutility level of each decision maker is modeled using multiple attributes, that is disutility function of each decision maker is formulated as a multi-attribute disutility function. By using a~group disutility function for two conflicting agents, we can model the mutual concessions

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Sohrabi, Arya, Mir Saman Pishvaee, Ashkan Hafezalkotob, and Shahrooz Bamdad. "A multi-attribute model to optimize the price and composition of prepaid mobile Internet plans." Journal of Enterprise Information Management 33, no. 5 (2020): 1257–91. http://dx.doi.org/10.1108/jeim-09-2019-0279.

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PurposePrepaid mobile Internet is one of the most profitable services that are composed of multiple attributes. The overall utility of Internet service can be broken down into the sum of the utility of individual attribute levels. Based on the multi-attribute theory, rational consumers choose the service that yields the highest utility from a number of possible alternatives. Determining the optimal attribute levels that satisfy consumers' preferences and maximize the total revenue of the firm is a challenging multi-attribute decision problem for any mobile operator. When designing mobile Inter

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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

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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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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 pr

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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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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 (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 me

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Liu, Dawei, Zhigen Hu, and Wencheng Guo. "Multi-Attribute Group-Decision on a Construction Diversion Scheme for Hydropower Projects Based on Perception Utility." Energies 11, no. 11 (2018): 3027. http://dx.doi.org/10.3390/en11113027.

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The multi-attribute and group-decision problem in the selection of a construction diversion scheme for large hydropower projects often involves multi-decision subjects and schemes. Each scheme includes multiple attributes, and the attribute values and weights are multi-attribute group decision-making problems with interval numbers. In this study, a new method for solving the multi-attribute group-decision problem is proposed by integrating regret theory, negotiation gathering theory, and the Monte Carlo simulation technique. Firstly, decision-makers’ comprehensive perception utility for each s

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Roth, Richard, Frank Field, and Joel Clark. "Materials selection and multi-attribute utility analysis." Journal of Computer-Aided Materials Design 1, no. 3 (1994): 325–42. http://dx.doi.org/10.1007/bf00712855.

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Liu, Zai Bin. "China’s Energy Portfolio Optimization Study Based on Multi-Attribute Utility Theory and Genetic Algorithm Method." Advanced Materials Research 524-527 (May 2012): 3027–35. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3027.

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China’s energy planning problem was concluded to the energy portfolio optimization problem which was solved by multi-attribute utility theory and genetic algorithm methods. A fundamental objectives hierarchy was established to structure the energy technology alternatives. Based on this hierarchy model, weights and utilities of energy resources were calculated by the multi-attribute utility theory. The Evolver decision tool was used to find an optimal energy portfolio by the genetic algorithm. The results indicated China should reduce coal and nuclear power in the future energy portfolio.

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Rohman, Moch Fatichur, and Bonda Sisephaputra. "Sistem Pendukung Keputusan Kelayakan Penerima Beasiswa PPA Menggunakan Metode ROC dan MAUT Berbasis Website." Journal of Informatics and Computer Science (JINACS) 5, no. 03 (2024): 358–68. http://dx.doi.org/10.26740/jinacs.v5n03.p358-368.

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Abstrak— Permasalahan yang dihadapi dalam dunia pendidikan tinggi adalah bagaimana mengambil keputusan yang akurat dan efisien dalam pemilihan penerima beasiswa Program Peningkatan Prestasi Akademik (PPA). Kriteria penilaian yang relevan dan signifikan menjadi fokus utama dalam menghadapi permasalahan ini. Penentuan kriteria yang tidak tepat dapat mengakibatkan ketidakefisienan dalam seleksi penerima beasiswa, sementara pemilihan kriteria yang sesuai akan meningkatkan tingkat keadilan dalam alokasi dana beasiswa. Mengembangkan sebuah sistem pendukung keputusan yang dapat diakses melalui intern

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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 (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

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Allah Bukhsh, Zaharah, Irina Stipanovic, Giel Klanker, Alan O’ Connor, and Andre G. Doree. "Network level bridges maintenance planning using Multi-Attribute Utility Theory." Structure and Infrastructure Engineering 15, no. 7 (2018): 872–85. http://dx.doi.org/10.1080/15732479.2017.1414858.

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Nuroji, Nuroji. "Penerapan Multi-Attribute Utility Theory (MAUT) Dalam Penentuan Pegawai Terbaik." Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 1, no. 2 (2022): 46–53. http://dx.doi.org/10.58602/jima-ilkom.v1i2.7.

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The best employee selection information system is an information system used by an organization or company to support the selection process and selection of the best employees or employees. This study aims to select the best employees using criteria of Ability, Discipline, Performance, and Responsibility by applying the multi-attribute utility theory (MAUT) method as a consideration for decision making. The calculation results of the MAUT method resulted in the best employee recommendation obtained on behalf of Handoko with a value of 0.7705 getting rank 1. 2nd place was obtained by Yessi with

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Bambang Hardian Syahputra, Irianto Irianto, and Febri Dristyan. "Implementasi Metode Multi Attribute Utility Theory Pemberian Komisi Untuk Sales." Journal Of Computer Science And Technology (JOCSTEC) 1, no. 1 (2023): 01–09. http://dx.doi.org/10.59435/jocstec.v1i1.3.

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Dalam pemberian komisi pada CV. Sempurna Tetap Makmur terdapat beberapa kriteria yang menjadi penilaian. Dalam mengambil keputusan terhadap penentuan komisi pada CV. Sempurna Tetap Makmur sudah menerapkan sistem terkomputerisasi dengan menggunakan Microsoft Excel dan untuk pengembangan aplikasi penentuan komisi maka CV. Sempurna Tetap Makmur memanfaatkan sistem aplikasi dengan menggunakan suatu metode algoritma yaitu metode Multi-Attribute Utility Theory (MAUT).

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Yamin, Abdul Yamin, Sarjon Defit, and Sumijan Sumijan. "Metode Multi Attribute Utility Theory (MAUT) Untuk Penilaian Kinerja Guru." Jurnal CoSciTech (Computer Science and Information Technology) 4, no. 3 (2024): 706–15. http://dx.doi.org/10.37859/coscitech.v4i3.5920.

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Penilaian kinerja guru merupakan suatu dasar atau landasan madrasah atau sekolah untuk membentuk suatu keputusan pengembangan dalam kenaikan pangkat serta karir guru. Saat ini, penilaian kinerja guru di Pondok Pesantren MTI Canduang terbatas pada guru-guru berstatus PNS atau yang telah mendapatkan sertifikasi. Dalam upaya meningkatkan kualitas pendidikan, penting untuk mengevaluasi kinerja semua guru, termasuk yang bukan PNS. Metode penilaian yang konvensional dengan lembar penilaian kertas saat ini dianggap tidak akurat dan tidak efisien karena jumlah guru yang dinilai cukup banyak. Selain it

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Nasyuha, Asyahri Hadi. "Sistem Pendukung Keputusan Menentukan Pemberian Pinjaman Modal dengan Metode Multi Attribute Utility Theory." JURNAL MEDIA INFORMATIKA BUDIDARMA 3, no. 2 (2019): 117. http://dx.doi.org/10.30865/mib.v3i2.1093.

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Technology development is very rapid, computers are utilized not only limited to data processing but also as solutions to problem solving in various fields of science, one of which is a decision support system. Decision support systems have added value in helping decision making by utilizing data and models to solve unstructured problems. In this case the decision support system is used to determine business capital borrowing using the Multi Attibute Utility Theory method. From the research carried out, many people have proposed business capital loans so that the capital provider is difficult

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Andika, Beni, Suardi Yakub, Ahmad Calam, and Do’idola Siregar. "Sistem Pendukung Keputusan Menentukan Pegawai Terbaik Dengan Metode Multi Atribut Utility Theory." Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) 23, no. 1 (2024): 159. http://dx.doi.org/10.53513/jis.v23i1.9567.

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Pada bagian Dinas Pendidikan di Kantor Bupati Labuhan Batu Selatan dalam pemilihan pegawai terbaik masih dilakukan secara manual. Tidak adanya sebuah sistem yang mampu memberikan sebuah pertimbangan dalam memilih pegawai terbaik. Dengan demikian Sistem Pemilihan Pegawai terbaik menjadi tidak akurat, dan sangat subjektif. Dengan masalah tersebut di atas maka dibutuhkan sebuah sistem yang mampu memberikan saran atau sebuah pertimbangan kepada pihak perusahaan dalam menentukan pegawai terbaiknya. Sistem pendukung keputusan adalah sistem informasi yang khusus ditujukan untuk dapat membantu manajem

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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 (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

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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 maxim

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Umar, Kiki Amelia, Salkin Lutfi, and Firman Tempola. "Sistem Pendukung Keputusan Rekomendasi Webhosting Pada Kantor Media Online Suaramu.Co Menggunakan Metode Multi Attribute Utility Theory (Maut)." Jurnal Teknik Informatika (J-Tifa) 2, no. 1 (2019): 34–41. http://dx.doi.org/10.52046/j-tifa.v2i1.261.

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Dalam memulai pembuatan website, menggunakan web server yang disediakan oleh penyedia jasa web hosting merupakanpilihan yang lebih digemari daripada membangun web server sendiri karena modal awal lebih ringan. Di internet bisaditemukan banyak penyedia jasa web hosting dengan beragam pilihan paket dan dan spesifikasi- lainnya seperti harga,storage dan lain-lain. Karena banyaknya pilihan paket dan spesifikasi yang disediakan itulah membuat para pemilik web yangingin menggunakan layanan penyedia jasa hosting kesulitan dalam menentukan pilihan yang sesuai dengan kriteria kebutuhansistem atau websi

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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 (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 weig

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Hayati, Ratna Sri, and Siti Aliyah. "SISTEM PENDUKUNG KEPUTUSAN PROMOSI JABATAN MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY." IT (INFORMATIC TECHNIQUE) JOURNAL 8, no. 2 (2021): 103. http://dx.doi.org/10.22303/it.8.2.2020.103-111.

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<p><em>Job promotion is an activity in managing human resources that has an important role in improving employee performance at work. Promoting employees is needed. The process of giving the right promotion must choose the best of the good. Decision actions taken to promote decisions for employees must be approved and the competencies required by the company. Decision support system is a method in making decisions about a particular problem. Multi Attribute Utility Theory (MAUT) is a method of decision making. Where this method performs the process of finding the number of weights

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Nguyen, Dat-Dao. "Learning And Predicting Individual Preferences In Multicriteria Decision Making With Neural Networks Vs. Utility Functions." Journal of Business & Economics Research (JBER) 15, no. 1 (2016): 15–20. http://dx.doi.org/10.19030/jber.v15i1.9854.

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This paper reports an empirical investigation into the performance of neural network technique vs. traditional utility theory-based method in capturing and predicting individual preference in multi-criteria decision making. As a universal function approximator, a neural network can assess individual utility function without imposing strong assumptions on functional form and behavior of the underlying data. Results of this study show that in all cases, the predictive ability of neural network technique was comparable to the multi-attribute utility theory-based models.

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Santawali, Muhammad Isla, and Citra Yustitya Gobel. "Sistem Pendukung Keputusan Penentuan Stunting Di Gorontalo Menerapkan Metode Multi Attribute Utility Theory." JSAI (Journal Scientific and Applied Informatics) 7, no. 3 (2024): 601–8. https://doi.org/10.36085/jsai.v7i3.7284.

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Stunting merupakan ketidakmampuan untuk tumbuh dan berkembang pada Balita disebabkan oleh kekurangan gizi jangka panjang, Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan Penentuan Tingkat Kerentanan stunting pada Balita dengan melakukan analisis penerapan metode Multi Attribute Utility Theori pada pelayanan kesehatan di gorontalo. Urgensi Penellitian ini bahwa prevalensi stunting di Provinsi Gorontalo sebesar 23,8% termasuk ke kategori tinggi, data stunting diakhir desember 2023 berjumlah 4.545 anak, oleh sebab itu dibutuhkan sistem Pendukung untuk penentuan Tingkat Kerenta

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BENADIA LATIFAH and PUTRI AISYIYAH RAKHMA DEVI. "SELEKSI KARYAWAN OUTSOURCING MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY DENGAN PEMBOBOTAN RANK ORDER CENTROID." Jurnal INSTEK (Informatika Sains dan Teknologi) 7, no. 2 (2022): 238–47. http://dx.doi.org/10.24252/instek.v7i2.31656.

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Dalam menyikapi era globalisasi, daya saing yang terjadi antar perusahaan akan meningkat pesat. Menarik serta merekrut kandidat yang tepat akan meningkatkan kualitas Sumber Daya Manusia (SDM) dalam sebuah perusahaan. Penelitian ini bertujuan untuk memberikan keputusan terhadap pemilihan karyawan outsourcing di PT.Winn Marzabumi. Dengan mengaplikasikan penerapan Multi Attribute Utility Theory dan Pembobotan Rank Order Centroid terhadap data para calon karyawan outsourching, adapun hasil penelitian dapat mengetahui calon karyawan dengan menggunakan kriteria dan bobot kriteria yang efektif sepert

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Alfiarini, Alfiarini, and Yogi Primadasa. "Penerapan Metode Multi Attribute Utility Theory Untuk Menganalisa Pemberian Bantuan Raskin." Techno.Com 19, no. 1 (2020): 76–86. http://dx.doi.org/10.33633/tc.v19i1.3136.

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Program beras miskin (Raskin) merupakan subsidi pangan yang diperuntukkan bagi keluarga miskin sebagai upaya dari pemerintah untuk meningkatkan ketahanan pangan dan memberikan perlindungan pada keluarga miskin. Penyaluran dan Pelaksanaan RASKIN bertujuan untuk memperkuat ketahanan pangan rumah tangga terutama rumah tangga miskin. Kelurahan Dempo Kecamatan Lubuklinggau Timur II Kota Lubuklinggau, mendapatkan kewajiban dan bertugas untuk menyalurkan beras rumah tangga miskin (Raskin) kepada masyarakat. Dengan melakukan observasi langsung, dalam upaya penyaluran raskin di Kelurahan Dempo mengalam

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Perdana, Adidtya, and Arief Budiman. "Analysis of Multi-attribute Utility Theory for College Ranking Decision Making." SinkrOn 4, no. 2 (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 t

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Taufik, I., C. N. Alam, Z. Mustofa, A. Rusdiana, and W. Uriawan. "Implementation of Multi-Attribute Utility Theory (MAUT) method for selecting diplomats." IOP Conference Series: Materials Science and Engineering 1098, no. 3 (2021): 032055. http://dx.doi.org/10.1088/1757-899x/1098/3/032055.

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Murti, Wulan Kartika, Agung Triayudi, and Mesran Mesran. "Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT)." Jurnal Sistem Komputer dan Informatika (JSON) 5, no. 1 (2023): 122. http://dx.doi.org/10.30865/json.v5i1.6823.

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Being an outstanding student in higher education is certainly a positive and proud thing. Where national education aims to develop the potential of students, in order to become educated, creative students and become democratic and responsible citizens. In determining outstanding students, there are several criteria that must be met by each student as a condition for determining outstanding students. The problem that occurs is that sometimes there are obstacles when assessing the criteria set for each prospective participant. To help the evaluation team in determining outstanding students, a de

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Suhada, Karya, Saludin Saludin, Abdurrahman Sadikin, Indah Kusuma Dewi, and Fifto Nugroho. "Penerapan Metode Multi-Attribute Utility Theory (MAUT) pada Pemilihan Broadcasting Terbaik." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 2 (2023): 641. http://dx.doi.org/10.30865/mib.v7i2.5937.

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In an increasingly sophisticated era and increasingly modern life, entertaining content makes Broadcasting a promising job field. This resulted in many people being interested in broadcasting. Broadcasting is a job related to broadcasting. All parties who participate in broadcasting, both cameramen, presenters, content creators, writer creators and so on. Broadcasting is usually useful for those who want to upload videos to YouTube, Tiktok, Instagram and so on. Broadcasting selection is done manually, it will take a long time and a lot of effort. Therefore a decision support system is needed i

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Pujiastuti, Lise, Ruhul Amin, Hariyanto Hariyanto, Adi Supriyatna, Ade Christian, and Sumanto Sumanto. "PEMILIHAN DOSEN TELADAN BERPRESTASI DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT)." Journal of Innovation And Future Technology (IFTECH) 6, no. 2 (2024): 164–73. http://dx.doi.org/10.47080/iftech.v6i2.3398.

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This study aims to evaluate the performance of lecturers in higher education using the Multi Attribute Utility Theory (MAUT) method. The main problem faced is the complexity of assessing lecturers based on the Tri Dharma of Higher Education-education, research, and community service-as well as the challenges of subjectivity and inefficiency in manual assessment. MAUT was chosen due to its ability to consider various assessment criteria in a structured and objective manner and follows the standardization of outstanding lecturer assessment including: Education, Research, Community Service, Disci

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Bettinger, Tawny L., Garyn Shuler, Donnamaria R. Jones, and James P. Wilson. "Schizophrenia: Multi-Attribute Utility Theory Approach to Selection of Atypical Antipsychotics." Annals of Pharmacotherapy 41, no. 2 (2007): 201–7. http://dx.doi.org/10.1345/aph.1g607.

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Anthes, Richard A., Mark W. Maier, Steve Ackerman, et al. "Developing Priority Observational Requirements from Space Using Multi-Attribute Utility Theory." Bulletin of the American Meteorological Society 100, no. 9 (2019): 1753–74. http://dx.doi.org/10.1175/bams-d-18-0180.1.

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AbstractOver a two-year period beginning in 2015, a panel of subject matter experts, the Space Platform Requirements Working Group (SPRWG), carried out an analysis and prioritization of different space-based observations supporting the National Oceanic and Atmospheric Administration (NOAA)’s operational services in the areas of weather, oceans, and space weather. NOAA leadership used the SPRWG analysis of space-based observational priorities in different mission areas, among other inputs, to inform the Multi-Attribute Utility Theory (MAUT)-based value model and the NOAA Satellite Observing Sys

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Shaik, Mohammed, and Walid Abdul-Kader. "Green supplier selection generic framework: a multi-attribute utility theory approach." International Journal of Sustainable Engineering 4, no. 1 (2011): 37–56. http://dx.doi.org/10.1080/19397038.2010.542836.

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DEAN TING, P. K., CHUCK ZHANG, BEN WANG, ABHIJIT DESHMUKH, and BARBARA DUBROSKY. "PRODUCT AND PROCESS COST ESTIMATION WITH FUZZY MULTI-ATTRIBUTE UTILITY THEORY." Engineering Economist 44, no. 4 (1999): 303–31. http://dx.doi.org/10.1080/00137919908967526.

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