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Artykuły w czasopismach na temat „Ordered Weights Average”

Autor: Grafiati

Data publikacji: 7 września 2024

Data aktualizacji: 31 lipca 2025

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1

Espinoza-Audelo, Luis F., Ernesto León-Castro, Marycruz Olazabal-Lugo, José M. Merigó, and Anna M. Gil-Lafuente. "Using Ordered Weighted Average for Weighted Averages Inflation." International Journal of Information Technology & Decision Making 19, no. 02 (2020): 601–28. http://dx.doi.org/10.1142/s0219622020500066.

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This paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios based on the reordering of the arguments with the weights. With this idea, it is possible to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision-maker. The work presents an applica

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S, Charles, and Dr L. Arockiam. "Fuzzy Weighted Ordered Weighted Average-Gaussian Mixture Model for Feature Reduction." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (2005): 694–712. http://dx.doi.org/10.24297/ijct.v4i2c2.4192.

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Feature reduction finds the optimal feature subset using machine learning techniques and evaluation criteria. Some of the irrelevant features are existed in the real-world datasets that should be removed by using the multi criterion decision approach. The relevant features are determined by using the WOWA criteria in fuzzy set. There are two important criteria are considered such as preferential weights and importance weights of features. These weights are used to find the irrelevant features and they are removed from the mixture. In this context, WOWA operator has the capability of assigning

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Ruiz-Morales, Betzabe, Irma Cristina Espitia-Moreno, Victor G. Alfaro-Garcia, and Ernesto Leon-Castro. "Sustainable Development Goals Analysis with Ordered Weighted Average Operators." Sustainability 13, no. 9 (2021): 5240. http://dx.doi.org/10.3390/su13095240.

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The present research proposes a new method to analyze the sustainable development goals (SDGs) index using ordered weighted average (OWA) operators. To develop this method, five experts evaluated and designated the relative importance of each of the 17 SDGs defined by the United Nations (UN), and with the use of the OWA and prioritized OWA (POWA) operators, rankings were generated. With the results, it is possible to visualize that the ranking of countries can change depending on the weights related to each SDG because the OWA and POWA operator methods can capture the uncertainty of the phenom

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Yoshida, Yuji. "Ordered Weighted Averages on Intervals and the Sub/Super-Additivity." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 4 (2013): 520–25. http://dx.doi.org/10.20965/jaciii.2013.p0520.

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This paper deals with continuous Ordered Weighted Averages (OWA) on a closed interval and investigates their fundamental properties. In this paper, we focus on OWA with a truncation weight and derive the subadditivity of a top-concentrated average. We then deal with OWA from the bottom and investigate their relations. The subadditivity for OWA with monotone weights is also discussed, then OWA based on probability are demonstrated and value-at-risks are explained as an example.

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Ogryczak, Włodzimierz. "Reference Point Method with Importance Weighted Partial Achievements." Journal of Telecommunications and Information Technology, no. 4 (June 26, 2023): 17–25. http://dx.doi.org/10.26636/jtit.2008.4.893.

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The reference point method (RPM) is based on the so-called augmented max-min aggregation where the worst individual achievement maximization process is additionally regularized with the average achievement. In order to avoid inconsistencies caused by the regularization, we replace it with the ordered weighted average (OWA) which combines all the individual achievements allocating the largest weight to the worst achievement, the second largest weight to the second worst achievement, and so on. Further following the concept of the weighted OWA (WOWA) we incorporate the importance weighting of se

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Savarimuthu, Charles, and Arockiam L. "Pairwise Fuzzy Ordered Weighted Average Algorithm-Gaussian Mixture Model for Feature Reduction." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 1 (2013): 287–301. http://dx.doi.org/10.24297/ijct.v6i1.4457.

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Feature Reduction is a kind of dimensionality reduction of feature space. There are a number of approaches are used to identify the significant features but they are not using the weighing approach. The weighing approach is quite useful for obtaining the significant features and removing the insignificant and irrelevant features using OWA formulation. The aim of this approach is to obtain the significant features and removing insignificant features by using the pairwise approach. This approach is helpful to find the weights of pairwise features at the same time, which leads to remove the insig

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Kuz’mina, N. E., S. V. Moiseev, V. I. Krylov, V. A. Yashkir, and V. A. Merkulov. "Quantitative determination of the average molecular weights of dextrans by diffusion ordered NMR spectroscopy." Journal of Analytical Chemistry 69, no. 10 (2014): 953–59. http://dx.doi.org/10.1134/s1061934814100086.

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Freixas, Josep. "An Aggregation Rule Based on the Binomial Distribution." Mathematics 10, no. 23 (2022): 4418. http://dx.doi.org/10.3390/math10234418.

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Many decision-making situations require the evaluation of several voters or agents. In a situation where voters evaluate candidates, the question arises of how best to aggregate evaluations so as to compare the candidates. The aim of this work is to propose a method of aggregating the evaluations of the voters, which has outstanding properties and serve as a potential evaluative tool in many contexts. Ordered weighted averages is a family of rules appropriate for studying this problem. In this paper, I propose as a solution an ordered weighted average that satisfies compelling properties and w

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9

Wankhade, Sandeep, Manoj Sahni, Cristhian Mellado-Cid, and Ernesto Leon-Castro. "Using the Ordered Weighted Average Operator to Gauge Variation in Agriculture Commodities in India." Axioms 12, no. 10 (2023): 985. http://dx.doi.org/10.3390/axioms12100985.

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Agricultural product prices are subject to various uncertainties, including unpredictable weather conditions, pest infestations, and market fluctuations, which can significantly impact agricultural yields and productivity. Accurately assessing and understanding price is crucial for farmers, policymakers, and stakeholders in the agricultural sector to make informed decisions and implement appropriate risk management strategies. This study used the ordered weighted average (OWA) operator and its extensions as mathematical aggregation techniques incorporating ordered weights to capture and evalua

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Majdan, Michał. "On Subjective Trust Management." Journal of Telecommunications and Information Technology, no. 4 (June 26, 2023): 26–31. http://dx.doi.org/10.26636/jtit.2008.4.894.

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Trust and reputation management is gaining nowadays more attention then ever as online commodity exchange and other open virtual societies became a widespread reality. Most widely used computational models use reputation metrics as global property assigned to each party. More sophisticated models try to use reputation as subjective property. While introducing subjective reputation there arise a need to model preferences of agents. In this paper we propose to use weighted ordered weighted average (WOWA) operator to support the decision maker in assessing available evidence about other’s party b

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BALLINI, R., and R. R. YAGER. "LINEAR DECAYING WEIGHTS FOR TIME SERIES SMOOTHING: AN ANALYSIS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 01 (2014): 23–40. http://dx.doi.org/10.1142/s0218488514500020.

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In this paper, we investigate the use of weighted averaging aggregation operators as techniques for time series smoothing. We analyze the moving average, exponential smoothing methods, and a new class of smoothing operators based on linearly decaying weights from the perspective of ordered weights averaging to estimate a constant model. We examine two important features associated with the smoothing processes: the average age of the data and the expected variance, both defined in terms of the associated weights. We show that there exists a fundamental conflict between keeping the variance smal

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MARCHANT, T. "MAXIMAL ORNESS WEIGHTS WITH A FIXED VARIABILITY FOR OWA OPERATORS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 03 (2006): 271–76. http://dx.doi.org/10.1142/s021848850600400x.

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When using the ordered weighted average operator, it can happen that one wants to optimize the variability (measured by the entropy (maximal) or by the variance (minimal)) of the weights while keeping the orness of this operator at a fixed level. This has been considered by several authors. Dually, there might be some contexts where one wishes to maximize the orness while guaranteeing some fixed variability. In this paper, we present two algorithms for finding such weights, when the variability is captured by the entropy and by the variance.

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Suo, Meiqin, Jing Zhang, Lixin He, Qian Zhou, and Tengteng Kong. "A Study on Evaluating Water Resources System Vulnerability by Reinforced Ordered Weighted Averaging Operator." Mathematical Problems in Engineering 2020 (November 20, 2020): 1–9. http://dx.doi.org/10.1155/2020/5726523.

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Evaluating the vulnerability of a water resources system is a multicriteria decision analysis (MCDA) problem including multiple indictors and different weights. In this study, a reinforced ordered weighted averaging (ROWA) operator is proposed by incorporating extended ordered weighted average operator (EOWA) and principal component analysis (PCA) to handle the MCDA problem. In ROWA, the weights of indicators are calculated based on component score coefficient and percentage of variance, which makes ROWA avoid the subjective influence of weights provided by different experts. Concretely, the a

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Xu, Wei Bin, Qing Jie Zhu, and Hai Bo Jia. "The Comprehensive Evaluation Method Based on GIS of Oil well Casing Damage." Advanced Materials Research 807-809 (September 2013): 2595–601. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2595.

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Oil well casing damage is one of the security problems in petroleum engineering, it should be paid more attention in oil and gas development. Influence factors of oil well casing damage are very complicated, and the evaluation criteria of each influence factors are different. Therefore, for the assessment of casing damage, should be based on a comprehensive engineering and petroleum geology of the argument, using multi-criteria evaluation method to implement from the safety point of view. The development of multi-criteria evaluation method based on GIS oil well casing damaged isnt only conside

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Yi, Yongguang, and Zengqiang Wang. "Dynamic Analysis of Customer Demand Based on Intuitionistic Fuzzy Number in Product Planning." Proceedings of Business and Economic Studies 7, no. 5 (2024): 127–31. http://dx.doi.org/10.26689/pbes.v7i5.8607.

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To address the fuzziness and variability in determining customer demand importance, a dynamic analysis method based on intuitionistic fuzzy numbers is proposed. First, selected customers use intuitionistic fuzzy numbers to represent the importance of each demand. Then, the preference information is aggregated using customer weights and time period weights through the intuitionistic fuzzy ordered weighted average operator, yielding a dynamic vector of the subjective importance of the demand index. Finally, the feasibility of the proposed method is demonstrated through an application example of

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Ruan, Chuanyang, Xiangjing Chen, and Lin Yan. "Fermatean Hesitant Fuzzy Multi-Attribute Decision-Making Method with Probabilistic Information and Its Application." Axioms 13, no. 7 (2024): 456. http://dx.doi.org/10.3390/axioms13070456.

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When information is incomplete or uncertain, Fermatean hesitant fuzzy sets (FHFSs) can provide more information to help decision-makers deal with more complex problems. Typically, determining attribute weights assumes that each attribute has a fixed influence. Introducing probability information can enable one to consider the stochastic nature of evaluation data and better quantify the importance of the attributes. To aggregate data by considering the location and importance degrees of each attribute, this paper develops a Fermatean hesitant fuzzy multi-attribute decision-making (MADM) method

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SU, WEIHUA, YONG YANG, CHONGHUI ZHANG, and SHOUZHEN ZENG. "INTUITIONISTIC FUZZY DECISION-MAKING WITH SIMILARITY MEASURES AND OWA OPERATOR." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 02 (2013): 245–62. http://dx.doi.org/10.1142/s021848851350013x.

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In this paper, we present a new intuitionistic fuzzy decision-making technique based on similarity measures and the ordered weighted average (OWA) operator. We develop the intuitionistic fuzzy ordered weighted similarity (IFOWS) measure. The main advantage of the IFOWS measure is that it can alleviate the influence of unduly large (or small) deviations on the aggregation results by assigning them low (or high) weights. Moreover, it provides a very general formulation that includes a wide range of aggregation similarity measures and aggregates the input arguments taking the form of intuitionist

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Jiang, Hongren. "An Approach to Multi-attribute Group Decision Making with Trapezoidal Interval Type-2 Fuzzy Sets and Application to Teaching Quality Assessment." Journal of Intelligent Systems 23, no. 4 (2014): 391–404. http://dx.doi.org/10.1515/jisys-2013-0073.

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AbstractTrapezoidal interval type-2 fuzzy sets (TIT2FSs) are a special kind of type-2 fuzzy sets. TIT2FSs are useful in dealing with fuzziness inherent in decision data and the decision-making process. For multi-attribute group decision-making problems in which the attribute values and attribute weights are TIT2FSs, a new decision-making approach is proposed. On the basis of the concept of barycenters, a new approach to ranking TIT2FSs is given. Four kinds of geometric aggregation operators for TIT2FSs are developed, including the TIT2FS weighted geometric average operator, TIT2FS ordered weig

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Dong, Jiu-Ying, Li-Lian Lin, Feng Wang, and Shu-Ping Wan. "Generalized Choquet Integral Operator of Triangular Atanassov’s Intuitionistic Fuzzy Numbers and Application to Multi-Attribute Group Decision Making." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 05 (2016): 647–83. http://dx.doi.org/10.1142/s0218488516500306.

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The purpose of this paper is to propose a new approach to interactive multi-attribute group decision making with triangular Atanassov's intuitionistic fuzzy numbers (TAIFNs). The contribution of this study is fivefold: (1) Minkowski distance between TAIFNs is firstly defined; (2) We define the possibility attitudinal expected values of TAIFNs and thereby present a novel risk attitudinal ranking method of TAIFNs which can sufficiently consider the risk attitude of decision maker; (3) The weighted average operator (TAIFWA) and generalized ordered weighted average (TAIFGWA) operator of TAIFNs are

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20

Chowdhury, Shahadat, and Ashish Sharma. "Long-Range Niño-3.4 Predictions Using Pairwise Dynamic Combinations of Multiple Models." Journal of Climate 22, no. 3 (2009): 793–805. http://dx.doi.org/10.1175/2008jcli2210.1.

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Abstract The interest in climate prediction has seen a rise in the number of modeling alternatives in recent years. One way to reduce the predictive uncertainty from any such modeling procedure is to combine or average the modeled outputs. Multiple model results can be combined such that the combination weights may either be static or vary over time. This research develops a methodology for combining forecasts from multiple models in a dynamic setting. The authors mix models on a pairwise basis using importance weights that vary in time, reflecting the persistence of individual model skills. S

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Jiang, Zongcai, and Yan Wang. "Multiattribute Group Decision Making with Unknown Decision Expert Weights Information in the Framework of Interval Intuitionistic Trapezoidal Fuzzy Numbers." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/635476.

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The aim of this paper is to investigate an approach to multiattribute group decision making with interval intuitionistic trapezoidal fuzzy numbers, in which the decision expert weights are unknown. First, we introduce a distance measure between two interval intuitionistic trapezoidal fuzzy matrixes, and based on the distance between individual matrix and extreme matrix, as well as the average matrix, we obtain the decision expert weights. Second, we utilize the interval intuitionistic trapezoidal fuzzy weighted geometric (IITFWG) operator and the interval intuitionistic trapezoidal fuzzy order

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Uriarte Adrián, José Jesús, Wenseslao Plata Rocha, Rosendo Romero Andrade, Gabriela Corrales Barraza, José C. Beltrán González, and Ricardo Remond Noa. "Detection of desirable areas for urban growth through GIS and OWA: the case of Culiacan and Navolato." CIENCIA ergo sum 27, no. 2 (2020): e85. http://dx.doi.org/10.30878/ces.v27n2a6.

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Due to an accelerated growth of artificial surfaces, an increasing interest in the changes on land use has been detected in the last decade, making it necessary to propose models able to create plans of optimal and sustainable development. The goal of this work is to identify the potentially most suitable spaces for urban growth, through geospatial simulations which integrate the Geographic Information Systems and OWA (Ordered Weighted Average). We propose a sensitivity analysis methodology to the results in order to assess their robustness with respect to the input values’ weights variability

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Sanei, Masoud, and Shokoofeh Banihashemi. "Selecting the Best of Portfolio Using OWA Operator Weights in Cross Efficiency-Evaluation." ISRN Applied Mathematics 2014 (March 19, 2014): 1–12. http://dx.doi.org/10.1155/2014/978314.

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The present study is an attempt toward evaluating the performance of portfolios and asset selection using cross-efficiency evaluation. Cross-efficiency evaluation is an effective way of ranking decision making units (DMUs) in data envelopment analysis (DEA). The most widely used approach is to evaluate the efficiencies in each row or column in the cross-efficiency matrix with equal weights into an average cross-efficiency score for each DMU and consider it as the overall performance measurement of the DMU. This paper focuses on the evaluation process of the efficiencies in the cross-efficiency

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Chiew, Mitchell, and Sergii Strelchuk. "Discovering optimal fermion-qubit mappings through algorithmic enumeration." Quantum 7 (October 18, 2023): 1145. http://dx.doi.org/10.22331/q-2023-10-18-1145.

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Simulating fermionic systems on a quantum computer requires a high-performing mapping of fermionic states to qubits. A characteristic of an efficient mapping is its ability to translate local fermionic interactions into local qubit interactions, leading to easy-to-simulate qubit Hamiltonians.All fermion-qubit mappings must use a numbering scheme for the fermionic modes in order for translation to qubit operations. We make a distinction between the unordered labelling of fermions and the ordered labelling of the qubits. This separation shines light on a new way to design fermion-qubit mappings

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Saltos Atiencia, Ramiro, and Richard Weber. "Rough-Fuzzy Support Vector Clustering with OWA Operators." Inteligencia Artificial 25, no. 69 (2022): 42–56. http://dx.doi.org/10.4114/intartif.vol25iss69pp42-56.

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Rough-Fuzzy Support Vector Clustering (RFSVC) is a novel soft computing derivative of the classical Support Vector Clustering (SVC) algorithm, which has been used already in many real-world applications. RFSVC’s strengths are its ability to handle arbitrary cluster shapes, identify the number of clusters, and e?ectively detect outliers by the means of membership degrees. However, its current version uses only the closest support vector of each cluster to calculate outliers’ membership degrees, neglecting important information that remaining support vectors can contribute. We present a novel ap

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Chalak, Karim. "INSTRUMENTAL VARIABLES METHODS WITH HETEROGENEITY AND MISMEASURED INSTRUMENTS." Econometric Theory 33, no. 1 (2016): 69–104. http://dx.doi.org/10.1017/s0266466615000390.

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We study the consequences of substituting an error-laden proxy W for an instrument Z on the interpretation of Wald, local instrumental variable (LIV), and instrumental variable (IV) estimands in an ordered discrete choice structural system with heterogeneity. A proxy W need only satisfy an exclusion restriction and that the treatment and outcome are mean independent from W given Z. Unlike Z, W need not satisfy monotonicity and may, under particular specifications, fail exogeneity. For example, W could code Z with error, with missing observations, or coarsely. We show that Wald, LIV, and IV est

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Kamiohkawa, Shota, Atsushi Maruyama, Inocencio Buot, and Merites Buot. "Index Assessment of Household Social Vulnerability to Climate Change: A Case Study of Laguna Province, Philippines." Journal of Environmental Science and Management 24, no. 1 (2021): 68–76. http://dx.doi.org/10.47125/jesam/2021_1/07.

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This study empirically investigated the social vulnerability of two municipalities of Laguna Province, Philippines, on the impacts of natural disasters associated with climate change. Data were obtained from interviews with seventeen experts and surveys for thirty-seven households conducted in the two municipalities. The results of the index analysis, using the weight average method and ordered probit regression, can be summarized as follows: First, the characteristics of low educational attainment, low labor rate and lack of economic resources were crucial in determining the social vulnerabil

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Khameneh, Azadeh, and Adem Kiliçman. "m-Polar Fuzzy Soft Weighted Aggregation Operators and Their Applications in Group Decision-Making." Symmetry 10, no. 11 (2018): 636. http://dx.doi.org/10.3390/sym10110636.

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Aggregation operators are important tools for solving multi-attribute group decision-making (MAGDM) problems. The main challenging issue for aggregating data in a MAGDM problem is how to develop a symmetric aggregation operator expressing the decision makers’ behavior. In the literature, there are some methods dealing with this difficulty; however, they lack an effective approach for multi-polar inputs. In this study, a new aggregation operator for m-polar fuzzy soft sets (M-pFSMWM) reflecting different agreement scenarios within a group is presented to proceed MAGDM problems in which both att

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Cao, Chengdong, Shouzhen Zeng, and Dandan Luo. "A Single-Valued Neutrosophic Linguistic Combined Weighted Distance Measure and Its Application in Multiple-Attribute Group Decision-Making." Symmetry 11, no. 2 (2019): 275. http://dx.doi.org/10.3390/sym11020275.

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The aim of this paper is to present a multiple-attribute group decision-making (MAGDM) framework based on a new single-valued neutrosophic linguistic (SVNL) distance measure. By unifying the idea of the weighted average and ordered weighted averaging into a single-valued neutrosophic linguistic distance, we first developed a new SVNL weighted distance measure, namely a SVNL combined and weighted distance (SVNLCWD) measure. The focal characteristics of the devised SVNLCWD are its ability to combine both the decision-makers’ attitudes toward the importance, as well as the weights, of the argumen

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Hu, Jun, Jie Wu, and Mengzhe Wang. "Research on VIKOR group decision making using WOWA operator based on interval Pythagorean triangular fuzzy numbers." AIMS Mathematics 8, no. 11 (2023): 26237–59. http://dx.doi.org/10.3934/math.20231338.

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<abstract> <p>A new decision-making method based on interval Pythagorean triangular fuzzy numbers is proposed for fuzzy information decision-making problems, taking the advantages of interval Pythagorean fuzzy numbers and triangular fuzzy numbers into account. The VIse Kriterijumski Optimizacioni Racun (VIKOR) group decision-making method is based on the Weighted Ordered Weighted Average (WOWA) operator of interval Pythagorean triangular fuzzy numbers (IVPTFWOWA). First, this article provides the definition of the IVPTFWOWA operator and proves its degeneracy, idempotence, monotonic

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Wu, Yunna, Lei Qin, Chuanbo Xu, and Shaoyu Ji. "Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method." Mathematical Problems in Engineering 2018 (November 8, 2018): 1–17. http://dx.doi.org/10.1155/2018/5213504.

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Site selection of waste-to-energy (WtE) plant is critically important in the whole life cycle. Some research has been launched in the WtE plant site selection, but there is still a serious problem called Not In My Back Yard (NIMBY) effect that needs to be solved. To solve the problem, an improved multigroup VIKOR method is proposed to choose the optimal site and compromised sites. In the proposed method, the public satisfaction is fully considered where the public is invited as an evaluation group far more than creating general indicators to represent the public acceptance. First of all, an el

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Zhang, Pengdan, Qing Liu, and Bingyi Kang. "An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9655–68. http://dx.doi.org/10.3233/jifs-202168.

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Multi-attribute decision-making (MADM) is an important part of modern decision-making science. Fuzzy Analytic Hierarchy Process (Fuzzy AHP) is a popular model to deal with the issue of MADM for its flexible and effective advantages. However, The traditional Fuzzy AHP with some limitations does not consider the preference (attitude) of decision makers (DMs). In addition, some ideas of combining Ordered Weighted Average (OWA) and Fuzzy AHP don’t investigated the MADM well. Some programs are only applicable to a few examples, and more general cases do not result in effective decision making. Cons

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Chang, Kuei-Hu. "A Novel Enhanced Supplier Selection Method Used for Handling Hesitant Fuzzy Linguistic Information." Mathematical Problems in Engineering 2022 (April 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/6621236.

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Today’s competitive businesses have been shifted from the company-to-company competition model to the supply chain-to-supply chain competition model. The selection of the most suitable supplier determines customer satisfaction and enterprise competitive advantage. However, the typical supplier selection approaches did not consider the ordered weights between the evaluations of attribute values, resulting in distorted assessment result. Moreover, experts often uncertainly decide the exact value of the evaluation attribute’s rating, have linguistic term sets equivocation, or give ambiguous infor

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León-Castro, Ernesto, Luis F. Espinoza-Audelo, José M. Merigó, Anna M. Gil-Lafuente, and Ronald R. Yager. "The ordered weighted average inflation." Journal of Intelligent & Fuzzy Systems 38, no. 2 (2020): 1901–13. http://dx.doi.org/10.3233/jifs-190442.

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Vluymans, Sarah, Neil Mac Parthaláin, Chris Cornelis, and Yvan Saeys. "Weight selection strategies for ordered weighted average based fuzzy rough sets." Information Sciences 501 (October 2019): 155–71. http://dx.doi.org/10.1016/j.ins.2019.05.085.

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Zhou, Zhongkai, David L. Topping, Matthew K. Morell, and Anthony R. Bird. "Changes in starch physical characteristics following digestion of foods in the human small intestine." British Journal of Nutrition 104, no. 4 (2010): 573–81. http://dx.doi.org/10.1017/s0007114510000875.

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Factors controlling the concentration of resistant starch (RS) in foods are of considerable interest on account of the potential for this type of fibre to deliver health benefits to consumers. The present study was aimed at establishing changes in starch granule morphology as a result of human small-intestinal digestion. Volunteers with ileostomy consumed six selected foods: breakfast cereal (muesli), white bread, oven-baked French fries, canned mixed beans and a custard containing either a low-amylose maize starch (LAMS) or a high-amylose maize starch (HAMS). Analysis showed that digesta tota

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Khakzad, Hamid. "OWA operators with different Orness levels for sediment management alternative selection problem." Water Supply 20, no. 1 (2019): 173–85. http://dx.doi.org/10.2166/ws.2019.149.

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Abstract The importance of reservoir sedimentation management as a multi criteria problem in practice with multiple decision makers is evident when one considers that the cost of replacing storage lost annually due to sediment deposition throughout the world is in the order of US$13 billion. If sedimentation can be managed successfully, as it has been in some reservoirs, the loss in reservoir storage space due to this phenomenon can be lowered significantly. The purpose of this research is to develop the ordered weighted averaging (OWA) algorithm and apply it and to select the most preferred a

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Kohler, Stefan, Norman Sitali, and Nicolas Paul. "A Framework for Assessing Import Costs of Medical Supplies and Results for a Tuberculosis Program in Karakalpakstan, Uzbekistan." Health Data Science 2021 (August 26, 2021): 1–13. http://dx.doi.org/10.34133/2021/9813732.

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Background. Import of medical supplies is common, but limited knowledge about import costs and their structure introduces uncertainty to budget planning, cost management, and cost-effectiveness analysis of health programs. We aimed to estimate the import costs of a tuberculosis (TB) program in Uzbekistan, including the import costs of specific imported items. Methods. We developed a framework that applies costing and cost accounting to import costs. First, transport costs, customs-related costs, cargo weight, unit weights, and quantities ordered were gathered for a major shipment of medical su

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Leon-Castro, Ernesto, Fabio Blanco-Mesa, Alma Montserrat Romero-Serrano, and Marlenne Velázquez-Cazares. "The Ordered Weighted Average Human Development Index." Axioms 10, no. 2 (2021): 87. http://dx.doi.org/10.3390/axioms10020087.

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The main aim is to propose a new method for estimating the Human Development Index using ordered weighted average. To develop this method, ordered weighted geometric average (OWGA), induced OWGA prioritized OWA (POWA) operator are studied. Using Human Development Index formulation in combination to aggregations operators presented above is proposed the prioritized induced ordered weighted geometric average (PIOWGA) operator. A mathematical application is carried out to estimate the Human Development Index and compare it with the traditional method and other existing methods. Finally, it is not

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Ruda, Aleš. "CARTOGRAPHIC VISUALIZATION OF OUTPUTS FOR SPATIAL DECISION-MAKING IN REGIONAL DEVELOPMENT." Geodesy and Cartography 41, no. 4 (2015): 174–84. http://dx.doi.org/10.3846/20296991.2015.1120431.

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Regional development is full of planning and decision making. Having precise results for spatial decision making (SDM) is more than necessary. On one site, there are many approaches how to process input data, on the other hand thematic cartography also operates with many visualizing methods and techniques. Loss of accuracy of the results is more than expected because there are two phases (data processing during SDM and cartographic visualization) where the accuracy might be distorted. In both phases processing recommendations must be obeyed. Selection of spatial decision making method must fol

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Samani, Zeinab Neisani, Ali Asghar Alesheikh, Mohammad Karimi, et al. "Advancing Urban Healthcare Equity Analysis: Integrating Public Participation GIS with Fuzzy Best–Worst Decision-Making." Sustainability 16, no. 5 (2024): 1745. http://dx.doi.org/10.3390/su16051745.

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This study provides an innovative collaborative spatial decision support system (SDSS) that aims to ensure an equitable spatial distribution of healthcare services. Evaluating the equality of access to health services across different geographical areas is important, as it requires the analysis of various criteria such as the proximity of health centres and hospitals (HCHs), the quality of services offered, connectivity to primary roads, the availability of public transportation hubs, and the density and distribution patterns of HCHs. This purpose is accomplished via the use of geographic info

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Papageorgiou, Konstantinos, Pramod K. Singh, Elpiniki Papageorgiou, Harpalsinh Chudasama, Dionysis Bochtis, and George Stamoulis. "Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities." Sustainability 12, no. 1 (2019): 305. http://dx.doi.org/10.3390/su12010305.

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Every development and production process needs to operate within a circular economy to keep the human being within a safe limit of the planetary boundary. Policymakers are in the quest of a powerful and easy-to-use tool for representing the perceived causal structure of a complex system that could help them choose and develop the right strategies. In this context, fuzzy cognitive maps (FCMs) can serve as a soft computing method for modelling human knowledge and developing quantitative dynamic models. FCM-based modelling includes the aggregation of knowledge from a variety of sources involving

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Blanco-Mesa, Fabio, Ernesto León-Castro, José M. Merigó, and Zeshui Xu. "Bonferroni means with induced ordered weighted average operators." International Journal of Intelligent Systems 34, no. 1 (2018): 3–23. http://dx.doi.org/10.1002/int.22033.

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Liu, Ping, Jiao Xue, Shisheng Tong, Wenxia Dong, and Peipei Wu. "Structure Characterization and Hypoglycaemic Activities of Two Polysaccharides from Inonotus obliquus." Molecules 23, no. 8 (2018): 1948. http://dx.doi.org/10.3390/molecules23081948.

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In the present study, two polysaccharides (HIOP1-S and HIOP2-S) were isolated and purified from Inonotus obliquus using DEAE-52 cellulose and Sephadex G-100 column chromatography. The structural characterization and in vitro and in vivo hypoglycaemic activities of these molecules were investigated. HPLC analysis HIOP1-S was a heterpolysaccharide with glucose and galactose as the main compontent monosaccharides (50.247%, molar percentages). However, HIOP2-S was a heterpolysaccharide with glucose as the main monosaccharide (49.881%, molar percentages). The average molecular weights of HIOP1-S an

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Maldonado, Sebastián, José Merigó, and Jaime Miranda. "Redefining support vector machines with the ordered weighted average." Knowledge-Based Systems 148 (May 2018): 41–46. http://dx.doi.org/10.1016/j.knosys.2018.02.025.

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Fernández, Elena, Miguel A. Pozo, Justo Puerto, and Andrea Scozzari. "Ordered Weighted Average optimization in Multiobjective Spanning Tree Problem." European Journal of Operational Research 260, no. 3 (2017): 886–903. http://dx.doi.org/10.1016/j.ejor.2016.10.016.

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Laengle, Sigifredo, Gino Loyola, and Jose M. Merigo. "Mean-Variance Portfolio Selection With the Ordered Weighted Average." IEEE Transactions on Fuzzy Systems 25, no. 2 (2017): 350–62. http://dx.doi.org/10.1109/tfuzz.2016.2578345.

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Fernández, Elena, Miguel A. Pozo, and Justo Puerto. "Ordered weighted average combinatorial optimization: Formulations and their properties." Discrete Applied Mathematics 169 (May 2014): 97–118. http://dx.doi.org/10.1016/j.dam.2014.01.001.

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Linares-Mustarós, Salvador, Joan C. Ferrer-Comalat, Dolors Corominas-Coll, and José M. Merigó. "The ordered weighted average in the theory of expertons." International Journal of Intelligent Systems 34, no. 3 (2018): 345–65. http://dx.doi.org/10.1002/int.22055.

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Shouzhen, Zeng, Wang Qifeng, José Merigó, and Pan Tiejun. "Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making." Computer Science and Information Systems 11, no. 2 (2014): 839–57. http://dx.doi.org/10.2298/csis130109046s.

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We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments.

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