Academic literature on the topic 'Fuzzy PROMETHEE'

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Journal articles on the topic "Fuzzy PROMETHEE"

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Soni, Vivek, Surya Prakash Singh, and Devinder Kumar Banwet. "Precise decisions in Indian energy sector by imprecise evaluation." International Journal of Energy Sector Management 10, no. 1 (2016): 118–42. http://dx.doi.org/10.1108/ijesm-12-2014-0011.

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Purpose – The purpose of this paper is to prioritize Indian energy sector projects, namely, coal, gas, hydro and solar using fuzzy PROMETHHE (F-PROMETHEE) and Visual PROMETHEE applications and multicriteria decision-making (MCDM) analyses. Design/methodology/approach – The MCDM outranking approach of PROMETHEE under fuzzy environment is used. Four projects of energy sector are selected as alternatives and are compared based on various criteria. These criteria selected on the perspectives of life cycle costing (LCC) analysis and related management approaches for prioritizing projects for effect
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Akram, Muhammad, Shumaiza, and Ahmad N. Al-Kenani. "Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process." Symmetry 12, no. 1 (2020): 77. http://dx.doi.org/10.3390/sym12010077.

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The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical r
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Akram, Muhammad, Maheen Sultan, José Carlos R. Alcantud, and Mohammed M. Ali Al-Shamiri. "Extended fuzzy $ N $-Soft PROMETHEE method and its application in robot butler selection." Mathematical Biosciences and Engineering 20, no. 2 (2023): 1774–800. http://dx.doi.org/10.3934/mbe.2023081.

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<abstract><p>This paper extends the literature on fuzzy PROMETHEE, a well-known multi-criteria group decision-making technique. The PROMETHEE technique ranks alternatives by specifying an allowable preference function that measures their deviations from other alternatives in the presence of conflicting criteria. Its ambiguous variation helps to make an appropriate decision or choose the best option in the presence of some ambiguity. Here, we focus on the more general uncertainty in human decision-making, as we allow $ N $-grading in fuzzy parametric descriptions. In this setting, w
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Elevli, Birol. "LOGISTICS FREIGHT CENTER LOCATIONS DECISION BY USING FUZZY-PROMETHEE." TRANSPORT 29, no. 4 (2014): 412–18. http://dx.doi.org/10.3846/16484142.2014.983966.

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Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (F-PROMETHEE) was applied for choosing among potential logistics center locations. The method combines the concept of fuzzy sets to represent uncertain information with the PROMETHEE, a subgroup of Multi-Criteria Decision-Making (MCDM) methods. Criteria are identified based on review of scientific and trade literature and inputs received from experts. The suitability of areas have been evaluated on the basis of these criteria. There are substantial uncertainties and subjectivity about site information. Therefore F-PROMETHEE
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Samanlioglu, Funda, and Zeki Ayağ. "An intelligent approach for the evaluation of transformers in a power distribution project." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 4133–45. http://dx.doi.org/10.3233/jifs-200261.

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In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In
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Baki, Rahmi. "For Supplier Evaluation Process through Fuzzy PROMETHEE Method." International Journal of Materials, Mechanics and Manufacturing 5, no. 3 (2017): 183–86. http://dx.doi.org/10.18178/ijmmm.2017.5.3.314.

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Aruchsamy, Revathy, Inthumathi Velusamy, Krishnaprakash Sanmugavel, Prasantha Bharathi Dhandapani, and Kavikumar Ramasamy. "Generalization of Fermatean Fuzzy Set and Implementation of Fermatean Fuzzy PROMETHEE II Method for Decision Making via PROMETHEE GAIA." Axioms 13, no. 6 (2024): 408. http://dx.doi.org/10.3390/axioms13060408.

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The Fermatean fuzzy set, in contrast to other generalizations of fuzzy sets like PFS and IFS, has a wide range of acceptance for both MF and NMF. In light of this, the Fermatean fuzzy set performs as an efficient, flexible, and comprehensive representation in situations that lack certainty. Here, the weaker forms of Fermatean fuzzy sets are introduced, and their traits are analyzed. Decomposition and continuity of the Fermatean fuzzy α-open set are also accustomed. With the goal of safeguarding our green environment, hiring the best supplier is of the utmost significance in the construction in
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Agada, Alexander Iwodi, John Rajan, Swaminathan Jose, et al. "Integration of Fuzzy 0/1 Knapsack Dynamic Programming and PROMETHEE Method for Vehicle Exhaust Emission Parametric Optimization and Selection in the Packing Industry." International Journal of Industrial Engineering and Engineering Management 6, no. 2 (2024): 97–112. https://doi.org/10.24002/ijieem.v6i2.7689.

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Packaging industries fabricate and transport products in wrapped, sealed, and cushioned containers and boxes on roads, often through fossil-fuelled vehicles that emit carbons. Thus, decarbonization and net zero emission drive are compelling for these vehicles. This paper proposes a robust green logistics interaction model for monitoring and reducing exhaust pipe emissions in an uncertain environment. It uses a hybrid method known as fuzzy-0/1-KDP-PROMETHEE (Fuzzy-0/1 Knapsack dynamic programming-Preference Ranking Organization Method for Enrichment Evaluation) approach to concurrently reduce u
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Dubo, He, and Huang Dong. "Supply Chain Quality Performance Evaluation Model Based on Intuitionistic Fuzzy PROMETHEE." E3S Web of Conferences 214 (2020): 03036. http://dx.doi.org/10.1051/e3sconf/202021403036.

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Aiming at the ambiguity and uncertainty in subjective group decision-making of supply chain quality performance evaluation, the traditional preference ranking organization methods for enrichment evaluation (PROMETHEE) is extended to a fuzzy environment, and a new intuitive fuzzy PROMETHEE model is proposed. The model uses intuitionistic fuzzy numbers to express the decision-maker’s semantic evaluation information, and establishes a trust function based on the evaluation information to determine the decision-maker’s weight. Then, use the method of maximizing the net flow to obtain the attribute
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Huzumah, Nur, and Toni Arifin. "Sistem Pemilihan Mesin Cuci Berdasarkan Kebutuhan Konsumen Menggunakan Fuzzy Tahani dan Promethee." Jurnal Informatika 5, no. 1 (2018): 12–21. http://dx.doi.org/10.31311/ji.v5i1.2728.

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Abstrak
 Berdasarkan hasil survei terhadap kebutuhan mesin cuci pada tahun 2013 pertumbuhan mesin cuci nasional naik sebesar 28%, Menurut data Euro Monitor tahun 2017, penetrasi mesin cuci di Indonesia selama lima tahun terakhir terus meningkat. Sekitar 74% masyarakat di Kota besar seperti Jakarta telah mengandalkan mesin cuci untuk membantu membersihkan pakaian. Namun pada pembelian mesin cuci, sebagian besar masyarakat masih tertarik dengan harga yang murah tanpa mengetahui spesifikasi detail mengenai mesin cuci yang akan dibeli apakah sesuai kebutuhan atau tidak. Karena kurangnya kesad
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Dissertations / Theses on the topic "Fuzzy PROMETHEE"

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Okonji, Stephen Chiedu. "Multi criteria risk analysis of a subsea BOP system." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/11869.

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The Subsea blowout preventer (BOP) which is latched to a subsea wellhead is one of several barriers in the well to prevent kicks and blowouts and it is the most important and critical equipment, as it becomes the last line of protection against blowout. The BOP system used in Subsea drilling operations is considered a Safety – Critical System, with a high severity consequence following its failure. Following past offshore blowout incidents such as the most recent Macondo in the Gulf of Mexico, there have been investigations, research, and improvements sought for improved understanding of the B
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MOREIRA, MARCELA PINHEIRO. "PRIORITIZATION OF FAILURE MODES OF EQUIPMENT USING THE METHODS OF MULTICRITERIA ANALYSIS PROMETHE AND FUZZY PROMETHE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14098@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Visando atender aos critérios de disponibilidade e confiabilidade exigidos pela regulamentação do setor elétrico brasileiro, as empresas de energia têm incrementado o uso de sistemas de monitoramento e diagnóstico. Isto possibilita a identificação prévia de evidências de anormalidades na condição operacional dos equipamentos de subestações, viabilizando a prática de manutenções preditivas e o gerenciamento de ativos baseado na avaliação de riscos. O RCM (Reliability Centered Maintenance) ou Manutenção Centrada em Confiabilidade é um process
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Pan, Ying, and 潘穎. "The Extension of PROMETHEE Decision Making Method under Interval-Valued Intuitionistic Fuzzy Environment." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/02763895550890012604.

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碩士<br>長庚大學<br>工商管理學系<br>101<br>In the past, research pertaining to the fuzzy preference ranking organization method for enrichment evaluation F-PROMETHEE, linguistic data has been chiefly transformed into triangular fuzzy numbers (TFNs). Different from a TFN, the interval-valued intuitionistic fuzzy (IVIF) number is able to more completely present its natural features. In addition, in specific contexts, we can also consider some uncertainty elements by using IVIF numbers. This study expresses the input data as IVIF sets which are applied within the framework of PROMETHEE. First, decision mak
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Lee, Wen Lin, and 李玟玲. "Risk assessment for new product development model by PROMETHEE of interval type-2 fuzzy." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/01558828655052309263.

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LeonardLiem, Velly, and 梁嘉玲. "Developing a Quantitative SWOT Evaluation Method Based on the Hybrid Model of PROMETHEE and Fuzzy Inference System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/57407504618436255761.

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Book chapters on the topic "Fuzzy PROMETHEE"

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Mateo, José Ramón San Cristóbal. "Fuzzy PROMETHEE." In Multi Criteria Analysis in the Renewable Energy Industry. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2346-0_11.

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Akram, Muhammad, Shumaiza, and José Carlos Rodríguez Alcantud. "Extended PROMETHEE Method with Bipolar Fuzzy Sets." In Forum for Interdisciplinary Mathematics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0569-0_6.

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Geldermann, Jutta, Kejing Zhang, and Otto Rentz. "Sensitivitätsanalysen für das Outranking-Verfahren PROMETHEE." In Multi-Criteria- und Fuzzy-Systeme in Theorie und Praxis. Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-81539-2_7.

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Sharaf, Iman Mohamad. "Evaluating Geothermal Energy Systems Using Spherical Fuzzy PROMETHEE." In Decision Making with Spherical Fuzzy Sets. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45461-6_16.

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Senvar, Ozlem, Gülfem Tuzkaya, and Cengiz Kahraman. "Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method." In Supply Chain Management Under Fuzziness. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53939-8_2.

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Akram, Muhammad, and Arooj Adeel. "Extended PROMETHEE Method Under Multi-polar Fuzzy Sets." In Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43636-9_7.

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Aicevarya Devi, S., and A. Felix. "Intuitionistic Fuzzy PROMETHEE Method for Medical Ventilator Selection." In Micro-Electronics and Telecommunication Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9512-5_53.

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Maisaini, Mordecai, Berna Uzun, Ilker Ozsahin, and Dilber Uzun. "Evaluating Lung Cancer Treatment Techniques Using Fuzzy PROMETHEE Approach." In 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04164-9_29.

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Afful-Dadzie, Eric, Stephen Nabareseh, Zuzana Komínková Oplatková, and Peter Klimek. "Using Fuzzy PROMETHEE to Select Countries for Developmental Aid." In Studies in Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33386-1_6.

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Bandyopadhyay, Susmita, and Indraneel Mandal. "Applying Fuzzy Probabilistic PROMETHEE on a Multi-Criteria Decision Problem." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3322-3_33.

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Conference papers on the topic "Fuzzy PROMETHEE"

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ÇAKIR, ESRA, and MERVE TARHAN. "Artificial Intelligence StartUp Preference Ranking by Circular Intuitionistic Fuzzy PROMETHEE." In 2024 International Conference on Computer and Applications (ICCA). IEEE, 2024. https://doi.org/10.1109/icca62237.2024.10927885.

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Usanase, Natacha, Berna Uzun, Leena R. David, Dilber Uzun Ozsahin, and Ilker Ozsahin. "Application of Fuzzy PROMETHEE in the Analysis of Childbirth Techniques." In 2024 17th International Conference on Development in eSystem Engineering (DeSE). IEEE, 2024. https://doi.org/10.1109/dese63988.2024.10911929.

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ÇAKIR, ESRA, and Emre DEMÍRCÍOĞLU. "Multi-Criteria Evaluation of Battery Electric Vehicles Via Circular Intuitionistic Fuzzy PROMETHEE." In 2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2024. http://dx.doi.org/10.1109/saci60582.2024.10619787.

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Cubukcuoglu, Beste, Berna Uzun, Huseyin Gokcekus, Safa Anmar Albarwary, and Dilber Uzun Ozsahin. "The Comparative Analysis of the Effectiveness of the Energy Resources Using Fuzzy PROMETHE-TOPSIS Method." In 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2025. https://doi.org/10.1109/ssd64182.2025.10989935.

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Hajlaoui, Sonia, and Nesrin Halouani. "Hesitant-fuzzy-promethee method." In 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmsao.2013.6552710.

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Moreira, M. P., C. J. Dupont, and M. M. B. R. Vellasco. "PROMETHEE and Fuzzy PROMETHEE Multicriteria Methods for Ranking Equipment Failure Modes." In 2009 15th International Conference on Intelligent System Applications to Power Systems (ISAP). IEEE, 2009. http://dx.doi.org/10.1109/isap.2009.5352823.

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Ayağ, Zeki. "GREEN CONCEPT EVALUATION THROUGH FUZZY AHP-PROMETHEE II." In 40th International Academic Conference, Stockholm. International Institute of Social and Economic Sciences, 2018. http://dx.doi.org/10.20472/iac.2018.040.004.

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Ozsahin, Ilker, Dilber Uzun Ozsahin, Kudakwashe Nyakuwanikwa, and Tapiwa Wallace Simbanegavi. "Fuzzy PROMETHEE for Ranking Pancreatic Cancer Treatment Techniques." In 2019 Advances in Science and Engineering Technology International Conferences (ASET). IEEE, 2019. http://dx.doi.org/10.1109/icaset.2019.8714554.

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Wang, Tien-Chin, Lisa Y. Chen, and Ying-Hsiu Chen. "Applying Fuzzy PROMETHEE Method for Evaluating IS Outsourcing Suppliers." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.506.

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Nabareseh, Stephen, Eric Afful-Dadzie, Zuzana Kominkova Oplatkova, and Peter Klimek. "Selecting countries for developmental aid programs using fuzzy PROMETHEE." In 2015 SAI Intelligent Systems Conference (IntelliSys). IEEE, 2015. http://dx.doi.org/10.1109/intellisys.2015.7361149.

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