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Journal articles on the topic 'Fuzzy PROMETHEE'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Bashir, Muhammad Adnan, Tabasam Rashid, and Muhammad Salman Bashir. "Generalized Ordered Intuitionistic Fuzzy C-Means Clustering Algorithm Based on PROMETHEE and Intuitionistic Fuzzy C-Means." International Journal of Intelligent Systems 2023 (September 22, 2023): 1–21. http://dx.doi.org/10.1155/2023/6686446.

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The problem of ordered clustering in the context of decision-making with multiple criteria has garnered significant interest from researchers in the field of management science and operational research. In real-world scenarios, the datasets often exhibit imprecision or uncertainty, which can lead to suboptimal ordered-clustering outcomes. However, the intuitionistic fuzzy c-means (IFCM) clustering algorithm enhances the accuracy and effectiveness of decision-making processes by effectively handling uncertain dataset information for clustering. Therefore, we propose a new clustering algorithm,

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Mahmoudi, Amin, Soheil Sadi-Nezhad, Ahmad Makui, and Mohammad Reza Vakili. "An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem." Kybernetes 45, no. 8 (2016): 1213–31. http://dx.doi.org/10.1108/k-10-2015-0271.

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Purpose The purpose of this paper is to extend the PROMETHEE method under typical hesitant fuzzy information for solving multi-attribute decision-making problem in which there is hesitancy among experts. Design/methodology/approach Different aggregation and distance functions were developed to deal with HFS. But it is rational that different operators applying in existing methods can produce different results. Also, it is difficult for decision makers to select suitable operators. To address the drawback, this paper develops the PROMETHEE method as an outranking approach to accommodate hesitan

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Priya,, M., and R. Kumaravel,. "Exploring Water Quality Assessment through AHP and Picture Fuzzy PROMETHEE - II: An In-Depth Investigation." Malaysian Journal of Mathematical Sciences 18, no. 3 (2024): 515–27. http://dx.doi.org/10.47836/mjms.18.3.04.

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Effective analysis of water quality is crucial for the well-being of ecosystems and human populations, notably in rivers like Thirumanimutharu. This study advances current methodologies by integrating the picture fuzzy PROMETHEE II approach with the analytic hierarchy process (AHP), offering a robust solution to the challenges posed by data ambiguity and imprecision. Born from the fusion of PROMETHEE II with picture fuzzy sets, this innovative method adeptly represents qualitative criteria and linguistic notions inherent in water quality assessment. A practical case study, utilising real water

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Ozsahin, Ilker. "Identifying a Personalized Anesthetic with Fuzzy PROMETHEE." Healthcare Informatics Research 26, no. 3 (2020): 201–11. http://dx.doi.org/10.4258/hir.2020.26.3.201.

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Vavatsikos, A. P., O. E. Demesouka, and K. P. Anagnostopoulos. "GIS-based suitability analysis using fuzzy PROMETHEE." Journal of Environmental Planning and Management 63, no. 4 (2019): 604–28. http://dx.doi.org/10.1080/09640568.2019.1599830.

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Fernández-Castro, A. S., and M. Jiménez. "PROMETHEE: an extension through fuzzy mathematical programming." Journal of the Operational Research Society 56, no. 1 (2005): 119–22. http://dx.doi.org/10.1057/palgrave.jors.2601828.

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Akram, Muhammad, Shumaiza, and José Alcantud. "An m-Polar Fuzzy PROMETHEE Approach for AHP-Assisted Group Decision-Making." Mathematical and Computational Applications 25, no. 2 (2020): 26. http://dx.doi.org/10.3390/mca25020026.

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The Analytical Hierarchy Process (AHP) is arguably the most popular and factual approach for computing the weights of attributes in the multi-attribute decision-making environment. The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) is an outranking family of multi-criteria decision-making techniques for evaluating a finite set of alternatives, that relies on multiple and inconsistent criteria. One of its main advantages is the variety of admissible preference functions that can measure the differences between alternatives, in response to the type and nature of

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Narayanamoorthy, Samayan, Subramaniam Pragathi, Thirumalai Nallasivan Parthasarathy, et al. "The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment." Symmetry 13, no. 6 (2021): 1030. http://dx.doi.org/10.3390/sym13061030.

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Extensive decision-making during the vaccine preparation period is unpredictable. An account of the severity of the disease, the younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk of the COVID-19 pandemic. In this research article, the preference ranking structure for the COVID-19 vaccine is recommended for young people who have been exposed to the effects of certain chronic diseases. Multiple Criteria Decision-Making (MCDM) approach effectively handles this vague information. Furthermore, with the support of the Intuitionistic Fuzzy Soft Set (IFSS)

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Sarwar, Musavarah, Fariha Zafar, Iqra Abdul Majeed, and Soha Javed. "Selection of Suppliers in Industrial Manufacturing: A Fuzzy Rough PROMETHEE Approach." Mathematical Problems in Engineering 2022 (July 8, 2022): 1–19. http://dx.doi.org/10.1155/2022/6141225.

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In supply chain management (SCM), the selection of suppliers plays a vital role in an efficient production process. Over the last few years, to form a trade-off between the quantitative and qualitative criteria, the selection of suppliers in SCM is considered very conclusive. The decisions generally demand different criteria to balance between every possible inconsistent parameters involving subjectivity and uncertainty in the process. The evaluation information mostly depends on the experience and knowledge of experts that are unsure and indistinct. This study introduces a novel decision-maki

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Kumari, Archana, Deepa Kumari, and Reema Agarwal. "Evaluating Mobile Wallet Adoption Barriers Using Fuzzy Mathematical Model." International Journal of Experimental Research and Review 44 (October 30, 2024): 266–76. http://dx.doi.org/10.52756/ijerr.2024.v44spl.023.

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A tremendous amount of research has been done on the factors influencing mobile wallet adoption as mobile wallet technology has seen rapid growth. Using expert opinion and Fuzzy PROMETHEE approach, this study investigates the key barriers to mobile wallet adoption. Mobile wallet adoption is constrained by Technological, security and infrastructural barriers, making adoption more challenging when user acceptance is skewed in emerging markets. In this study, we use the F-PROMETHEE to rank these barriers based on expert opinions. A panel of fintech and digital payments experts assessed the key ad

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Citil, Mehmet. "An application of the intuitionistic fuzzy PROMETHEE method in the selection of transportation service." Thermal Science 26, Spec. issue 2 (2022): 613–20. http://dx.doi.org/10.2298/tsci22s2613c.

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Many of the problems we encounter involve uncertainties. Intuitionistic fuzzy logic works well in solving problems with uncertainties. Transportation problems, which are needed find the most appropriate and best, also contain uncertainty. A solution is found by using one of the decision making methods by determining the weight values of the criteria. The PROMETHEE method has an important place among the multi-criteria decision-making methods as it allows the decision maker to observe both positive and negative rankings. We may solve problems with uncertainties through using intuitionistic fuzz

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Nguyen, Huyen Trang, and Ta-Chung Chu. "Ranking Startups Using DEMATEL-ANP-Based Fuzzy PROMETHEE II." Axioms 12, no. 6 (2023): 528. http://dx.doi.org/10.3390/axioms12060528.

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In entrepreneurship management, the evaluation and selection of startups for acceleration programs, especially technology-based startups, are crucial. This process involves considering numerical and qualitative criteria such as sales, prior startup experience, demand validation, and product maturity. To effectively rank startups based on the varying importance of these criteria, a fuzzy multi-criteria decision-making (MCDM) approach is needed. Although MCDM methods have been successful in handling complex problems, their application in startup selection and evaluating criteria interrelationshi

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Akram, Muhammad, Maheen Sultan, Arooj Adeel, and Mohammed M. Ali Al-Shamiri. "Pythagorean fuzzy $ N $-Soft PROMETHEE approach: A new framework for group decision making." AIMS Mathematics 8, no. 8 (2023): 17354–80. http://dx.doi.org/10.3934/math.2023887.

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<abstract><p>The use of Pythagorean fuzzy $ N $-soft sets (PFNSs) enables the examination of belongingness and non-belongingness of membership degrees, as well as their combinations with $ N $-grading, in the unpredictable nature of individuals. This research aims to enhance our understanding of a popular multi-criteria group decision making (MCGDM) technique, Preference Ranking Organization Method for Enrichment of Evaluations, under the PFNS environment, aiding in making effective decisions for real-life problems, as fuzzy set theory is directly relevant to real-life applications

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He, Tianhong, and Qingmao Wang. "Analyzing the Service Quality Evaluation of Railway Cold Chain Logistics Based on Probabilistic Linguistic Group Decision-Making." International Journal of Decision Support System Technology 17, no. 1 (2025): 1–20. https://doi.org/10.4018/ijdsst.371200.

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The evaluation of railway cold chain logistics service quality is essential for ensuring the safe, efficient, and reliable transport of temperature-sensitive goods, such as food and pharmaceuticals. It identifies strengths and weaknesses in logistics processes, enabling continuous improvement and optimal resource allocation. As the evaluation of railway cold chain logistics involves multiple-attribute group decision-making (MAGDM), this study employs the TODIM and PROMETHEE approaches to propose a robust framework. To effectively manage fuzzy information during the quality evaluation process,

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Tian, Xiaoli, Zeshui Xu, and Jing Gu. "GROUP DECISION-MAKING MODELS FOR VENTURE CAPITALISTS: THE PROMETHEE WITH HESITANT FUZZY LINGUISTIC INFORMATION." Technological and Economic Development of Economy 25, no. 5 (2019): 743–73. http://dx.doi.org/10.3846/tede.2019.8741.

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Venture capitalists (VCs) have long been preoccupied by the issue of selecting a promising start-up firm, whereas, ranking the available start-up firms is an effective way to solve this issue. In this paper, the PROMETHEE is chosen to be the fundamental ranking method. Also, the hesitant fuzzy linguistic term set is a suitable tool to simulate VCs’ evaluation information. Additionally, as the deepening of social division of labor and specialization of individuals, group decision making is famous for improving decision-making quality. Moreover, in the decision-making process, VCs exhibit behavi

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Samanlioglu, Funda, and Zeki Ayağ. "Concept selection with hesitant fuzzy ANP-PROMETHEE II." Journal of Industrial and Production Engineering 38, no. 7 (2021): 547–60. http://dx.doi.org/10.1080/21681015.2021.1944918.

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Liao, Huchang, and Zeshui Xu. "Multi-criteria decision making with intuitionistic fuzzy PROMETHEE." Journal of Intelligent & Fuzzy Systems 27, no. 4 (2014): 1703–17. http://dx.doi.org/10.3233/ifs-141137.

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Nugroho, Yunanto Adi, Yu Sekiguchi, and Elia Oey. "Export Country Selection with Fuzzy AHP and PROMETHEE." International Journal of Business Excellence 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbex.2019.10021856.

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Feng, Feng, Zeshui Xu, Hamido Fujita, and Meiqi Liang. "Enhancing PROMETHEE method with intuitionistic fuzzy soft sets." International Journal of Intelligent Systems 35, no. 7 (2020): 1071–104. http://dx.doi.org/10.1002/int.22235.

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Erkeç, Tuncay Yunus, Fahri Alp Erdoğan, Salih Aygün, and Murat Sağbaş. "UAV Selection Using Fuzzy AHP and PROMETHEE Method." Journal of Aviation 9, no. 1 (2025): 13–18. https://doi.org/10.30518/jav.1545474.

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UAV (Unmanned Aerial Vehicle) is an aircraft that can fly by remote control or automated system and does not have the capacity to carry people. The optimal selection of UAVs is critical for the successful conduct of operations and the prevention of loss of life and property. The aim of this study is to prioritize the criteria affecting the selection of UAVs and to rank the Strategic UAVs based on these criteria. Thus, it is aimed to improve the UAV selection process of decision makers. As a result of the literature search, there were no studies on the most important criteria affecting the sele

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Abdullah, Lazim, Nurhatika Harun, Shalela Mohd Mahali, Naeem Jan, and Ewa Rak. "Preorder of Factors Affecting Oil Prices: Fuzzy PROMETHEE Approach." Journal of Mathematics 2022 (June 17, 2022): 1–15. http://dx.doi.org/10.1155/2022/2766945.

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Oil is a highly demanded worldwide product as oil prices can have a major economic and social impact. There are many factors affecting oil prices, but little is known about which factor mostly influenced oil prices. To understand what caused the fluctuation of oil prices, the investigation leading up to the identification of the factors must be constructed. Thus, this paper attempts to explore the factors that might have contributed to oil prices and analyze them using the fuzzy preference ranking organization method for enrichment evaluation (PROMETHEE) method. In particular, the objective of

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Ayadi, Hana, Nadia Hamani, Lyes Kermad, and Mounir Benaissa. "Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives." Sustainability 13, no. 7 (2021): 3891. http://dx.doi.org/10.3390/su13073891.

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The purpose of this paper is to help decision-makers choose the location of a logistics platform with sustainability perspectives. This study presents a compensatory and partially compensatory approach to build composite indicators, using mainly fuzzy multi-criteria decision-making methods. In the first instance, the fuzzy full consistency method (F-FUCOM) was used to calculate the weight of the criteria and sub-criteria. In the second instance, two aggregation methods, namely the fuzzy multi-attribute ideal-real comparative analysis (F-MAIRCA) and the fuzzy preference ranking organization met

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Tian, Chao, Juan-juan Peng, Wen-yu Zhang, Shuai Zhang, and Jian-qiang Wang. "TOURISM ENVIRONMENTAL IMPACT ASSESSMENT BASED ON IMPROVED AHP AND PICTURE FUZZY PROMETHEE II METHODS." Technological and Economic Development of Economy 26, no. 2 (2019): 355–78. http://dx.doi.org/10.3846/tede.2019.11413.

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With the increasing awareness of environmental protection, the environmental impact assessment (EIA) of tourism attraction problems has attracted extensive attention from all over the world. The purpose of this study is to develop an integrated decision-making method for EIA of tourism attractions in China by using the improved analytic hierarchy process (AHP) method and the extended picture fuzzy preference ranking organization method for enrichment evaluations (PROMETHEE) II method. Herein, picture fuzzy numbers (PFNs) are used to describe decisionmakers’ preference, which can precisely expr

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Mazaheri-Zadeh, Yoones, and Zahra Naji-Azimi. "Identification and Evaluation of Parameters Influencing the selection of Finance Project Contractors of Mashhad Water and Wastewater Company Using an AHP and Fuzzy Pramty." Current World Environment 10, Special-Issue1 (2015): 184–92. http://dx.doi.org/10.12944/cwe.10.special-issue1.24.

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For managers and decision-makers, selecting the contractor is a key decision given this fact that the contractor plays a fundamental role in any outsourced project. So, identifying and evaluating the contractors selection criteria will result in eliminating inefficient contractors from the tender process. It is needed to collect and process these criteria in order to maximize the performance of selected contractors, and to minimize the errors and mistakes in fulfilling the society needs and organization standards. Obviously, many quantitative and qualitative indicators of different importance

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Radeva, Irina. "Multicriteria Fuzzy Sets Application in Economic Clustering Problems." Cybernetics and Information Technologies 17, no. 3 (2017): 29–46. http://dx.doi.org/10.1515/cait-2017-0028.

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Abstract This paper presents an approach for small and medium-sized enterprises selection in economic clusters, where the problem of integration is defined as “ill structured under condition of uncertainty”. The proposed solution demonstrates applying several fuzzy multi-criteria decision making algorithms along with discussion over specific input data requirements. The results are compared with classical multi-criteria decision-making algorithm PROMETHEE II.

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Mohd Nasir, Diana Sirmayunie, Nurshahira Zawawi, and Suzanawati Abu Hasan. "Evaluate and Rank the Smartphone Brand Using Fuzzy AHP and PROMETHEE." Jurnal Intelek 14, no. 2 (2019): 44–51. http://dx.doi.org/10.24191/ji.v14i2.216.

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A buying decision process is one of the Multi-Criteria Decision Making (MCDM) problems faced by everyone in daily life. One example is the selection of smartphones brand in the market. Thus, the study is conducted to evaluate the most effective criteria for buying smartphones and to rank the people's preferences on smartphone based on its brand. Six criteria (price, operating system, memory, display, camera and battery) and three alternatives which are the smartphone brands (Oppo, Samsung and Apple) were chosen in the study. Two main processes were involved, which are 1) evaluate the smartphon

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Hamzeh, Mohamad, and Farid Karimipour. "Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin." Energy Exploration & Exploitation 38, no. 4 (2020): 960–88. http://dx.doi.org/10.1177/0144598720910264.

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This paper presents a new approach, called optimized fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), based on combining fuzzy logic, an outranking method and the cuckoo search optimization algorithm to assess petroleum potential in a spatial framework. The approach brings together flexibility and simplicity to solve petroleum exploration problem under uncertainty using experts’ knowledge and the information associated with the discovered oil pools simultaneously. The characteristics of the essential elements of the petroleum system are used as key criteria i

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Kamalkhani, Mahboubeh, Reza Sheikh, and Shib Sankar Sana. "Green performance evaluation and ranking hotels using fuzzy PROMETHEE." International Journal of Logistics Systems and Management 40, no. 4 (2021): 561. http://dx.doi.org/10.1504/ijlsm.2021.120493.

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Adhiana, Tigar Putri, Maria Krisnawati, and Hasyim Asyari. "Evaluasi Kinerja Pemasok Bahan Baku Menggunakan Metode Fuzzy Promethee." Dinamika Rekayasa 15, no. 2 (2019): 107. http://dx.doi.org/10.20884/1.dr.2019.15.2.271.

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Peran Industri Kecil Menengah (IKM) sangat penting untuk memasarkan produk atau layanan lokal ke pasar internasional serta bersaing dengan perusahaan pesaing multinasional di pasar lokal. Go Work Handy Craft<em> </em>adalah sebuah IKM yang memproduksi beberapa jenis sapu di Purbalingga. Permasalahan yang dihadapi Go Work Handy Craft<em> </em>adalah adanya keterlambatan pasokan bahan baku bambu dari pemasok. Apabila terjadi keterlambatan pasokan bahan baku bambu, maka proses produksi dihentikan sementara sehingga mengakibatkan produktivitas berkurang. Penelitian ini bert

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Sana, Shib, Mahboubeh Kamalkhani, and Reza Sheikh. "Green performance evaluation and ranking hotels using Fuzzy Promethee." International Journal of Logistics Systems and Management 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijlsm.2020.10029755.

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Ozsahin, Dilber Uzun, Berna Uzun, Musa Sani Musa, Niyazi Şentürk, Fatih Veysel Nurçin, and Ilker Ozsahin. "Evaluating nuclear medicine imaging devices using fuzzy PROMETHEE method." Procedia Computer Science 120 (2017): 699–705. http://dx.doi.org/10.1016/j.procs.2017.11.298.

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Hosseini Motlagh, Seyyed Mahdi, Majid Behzadian, Joshua Ignatius, Mark Goh, Mohammad Mehdi Sepehri, and Tan Kim Hua. "Fuzzy PROMETHEE GDSS for technical requirements ranking in HOQ." International Journal of Advanced Manufacturing Technology 76, no. 9-12 (2014): 1993–2002. http://dx.doi.org/10.1007/s00170-014-6233-5.

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Chen, Ying-Hsiu, Tien-Chin Wang, and Chao-Yen Wu. "Strategic decisions using the fuzzy PROMETHEE for IS outsourcing." Expert Systems with Applications 38, no. 10 (2011): 13216–22. http://dx.doi.org/10.1016/j.eswa.2011.04.137.

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Ozsahin, I., B. Uzun, and D. U. Ozsahin. "Selection of photodetectors in nuclear medical imaging using MCDM methods." Journal of Instrumentation 17, no. 06 (2022): C06003. http://dx.doi.org/10.1088/1748-0221/17/06/c06003.

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Abstract Photodetectors used in nuclear medical imaging such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) are an important element of radiation detection systems. Selecting the photodetector depends on many physical criteria including quantum efficiency (QE) and gain. The aim of this study is to apply multi-criteria decision-making (MCDM) methods to determine the optimum photodetector based on the evaluation and comparison of complex and multiple criteria. The photodetectors investigated in this study are photomultiplier tube (PMT), avalanche pho

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Stoilova, Svetla Dimitrova. "An Integrated Approach for Selection of Intercity Transport Schemes on Railway Networks." PROMET - Traffic&Transportation 30, no. 4 (2018): 367–77. http://dx.doi.org/10.7307/ptt.v30i4.2673.

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A major problem connected with planning the organization of trains on a railway network is the optimization of the scheme of movement, which determines the routing and the number of trains. In this paper, an integrated approach of fuzzy linear programming method and multi-criteria analysis including three steps is proposed. In the first step, we defined the schemes of transportation of intercity trains and optimized each scheme in terms of direct operating costs by taking into account the uncertainty of passenger flows and utilization of train capacity using the fuzzy linear programming method

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Mahmoudi, Amin. "An Extended Fuzzy PROMETHEE based on Fuzzy Rule based System for Supplier Selection Problem." Indian Journal of Science and Technology 8, no. 1 (2015): 1–11. http://dx.doi.org/10.17485/ijst/2015/v8i31/84225.

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Gul, Muhammet, Erkan Celik, Alev Taskin Gumus, and Ali Fuat Guneri. "A fuzzy logic based PROMETHEE method for material selection problems." Beni-Suef University Journal of Basic and Applied Sciences 7, no. 1 (2018): 68–79. http://dx.doi.org/10.1016/j.bjbas.2017.07.002.

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Peng, Yi, Gang Kou, and Jun Li. "A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese." Arabian Journal for Science and Engineering 39, no. 6 (2014): 5245–52. http://dx.doi.org/10.1007/s13369-014-1033-7.

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El Beggar, Omar. "Multicriteria decision aid for agile methods evaluation using fuzzy PROMETHEE." Journal of Software: Evolution and Process 30, no. 12 (2018): e2108. http://dx.doi.org/10.1002/smr.2108.

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Tian, Xiaojuan, Xiaodong Liu, and Lidong Wang. "An improved PROMETHEE II method based on Axiomatic Fuzzy Sets." Neural Computing and Applications 25, no. 7-8 (2014): 1675–83. http://dx.doi.org/10.1007/s00521-014-1651-8.

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