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Data Envelopment Analysis with Fuzzy Parameters

Adel Hatami-Marbini, Saber Saati, Madjid Tavana
2011 International Journal of Operations Research and Information Systems  
This paper proposes an interactive evaluation process for measuring the relative efficiencies of a set of DMUs in fuzzy DEA with consideration of the DMs' preferences.  ...  Data envelopment analysis (DEA) is a widely used mathematical programming approach for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative  ...  In this study, we propose an interactive evaluation process for measuring the relative efficiencies of a set of DMUs in fuzzy DEA with consideration of the DMs' preferences.  ... 
doi:10.4018/joris.2011070103 fatcat:gsjzfcgrivcfjjml2ik6gglizy

An integrated fuzzy regression-data envelopment analysis algorithm for optimum oil consumption estimation with ambiguous data

A. Azadeh, O. Seraj, S.M. Asadzadeh, M. Saberi
2012 Applied Soft Computing  
This study introduces an integrated fuzzy regression (FR) data envelopment analysis (DEA) algorithm for oil consumption estimation and optimization with uncertain and ambiguous data.  ...  The efficiency of 15 FR models is examined by the output-oriented Data Envelopment Analysis (DEA) model without inputs by considering three types of relative error: RMSE, MAE and MAPE.  ...  very limited and imprecise and variables are interacting in an uncertain, qualitative and fuzzy way.  ... 
doi:10.1016/j.asoc.2012.03.026 fatcat:3j2c3nnminhhvbxhjn6vxp7ism

A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming

Madjid Tavana, Mehdi Keramatpour, Francisco J. Santos-Arteaga, Esmail Ghorbaniane
2015 Expert systems with applications  
We use Data Envelopment Analysis (DEA) for the initial screening, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking the projects, and linear Integer Programming  ...  In this study, we propose a three-stage hybrid method for selecting an optimal combination of projects.  ...  Some researchers also have used Data Envelopment Analysis (DEA) to solve these problems (Cook & Green, 2000; Oral, Kettani, & Cinar, 2001; Oral, Kettani, & Lang, 1991) .  ... 
doi:10.1016/j.eswa.2015.06.057 fatcat:u775sfk6qzcpllvazui4efryxq

A fuzzy data envelopment analysis framework for dealing with uncertainty impacts of input–output life cycle assessment models on eco-efficiency assessment

Gokhan Egilmez, Serkan Gumus, Murat Kucukvar, Omer Tatari
2016 Journal of Cleaner Production  
Kao and Liu (2000) developed an algorithm to measure DMUs' efficiencies with fuzzy data where fuzzy observations are transformed into crisp variables using α-cut approach.  ...  In this context, Data Envelopment Analysis (DEA), a mathematical programming-based sustainability performance benchmarking method, has been a robust option, since it does not require any subjective weighting  ... 
doi:10.1016/j.jclepro.2016.03.111 fatcat:s55zutcaw5aw5aq34dotrxnoqi

A New Interactive Decision Approach with Probabilistic Linguistic Data: An Application in the Academic Sector

K.S. Ravichandran, R. Krishankumar, Sibnath Deb, Dragan Pamucar, David Paul, Darko Božanić, Ali Ahmadian
2022 Mathematical Problems in Engineering  
However, earlier studies with this variant for decision-making have not adequately explored hesitation in data articulation and interactive ranking.  ...  an interactive WASPAS algorithm for determining the significance of factors and personalized ranking of alternatives.  ...  [46] performed a portfolio assessment with multiobjective programming by considering the RT formulation and the DEA (data envelopment analysis) approach. Liang et al.  ... 
doi:10.1155/2022/9299246 fatcat:56a77t736rbethwsyb4l2aasgy

An extension of the linear programming method with fuzzy parameters

Adel Hatami Marbini, Madjid Tavana
2011 International Journal of Mathematics in Operational Research (IJMOR)  
In a recent paper, Jiménez et al. (2007) propose a 'general' and 'interactive' method for solving linear programming problems with fuzzy parameters.  ...  In contrary to the approach proposed by Jiménez et al. (2007) , our method is rightfully general and interactive, as it provides an optimal solution that is not subject to specific restrictive conditions  ...  The Data Envelopment Analysis (DEA) model provided next is used to measure the relative efficiency of a Decision-Making Unit (DMU) in producing two outputs from two inputs.  ... 
doi:10.1504/ijmor.2011.037312 fatcat:ch2gczasevczdgu6b6hk4srs4u

A Novel Decision Support System Based on Fuzzy Multi Criteria Decision Making for Optimizing Machining Parameters

Muhammed Ordu, Osmaniye Korkut Ata University, Faculty of Engineering, Department of Industrial Engineering, 80000, Osmaniye, Turkey, Yusuf Fedai, Osmaniye Korkut Ata University, Faculty of Engineering, Department of Industrial Engineering, 80000, Osmaniye, Turkey
2021 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
We combine the three distinct methods: experimental design and analysis, fuzzy data envelopment analysis (DEA) and fuzzy analytical hierarchy process (AHP).  ...  Fuzzy DEA with Super Efficiency Approach.  ...  design and analysis, fuzzy data envelopment analysis (DEA) and fuzzy analytical hierarchy process (AHP).  ... 
doi:10.36909/jer.13567 fatcat:q67ps7mgtrhxfbxklmem3p2csi

Reliable Biological Circuit Design Including Uncertain Kinetic Parameters [chapter]

Eva Sciacca, Salvatore Spinella
2010 Studies in Fuzziness and Soft Computing  
Finally, the results of the fuzzy methodology are compared with a deterministic method.  ...  The analysis of the biological system is based on the idea that the set of parameters involved in the model can be classified into two different typologies: the uncertain kinetic parameters and the control  ...  Acknowledgements This work came from an idea given by our mentor Prof. A.M.Anile some years ago. We always keep his real paragon of scientist and his helpful encouragements in our memory.  ... 
doi:10.1007/978-3-642-13935-2_21 fatcat:hlrbkiuksfb63e354ymilz3j6i

Identifiability of transient storage model parameters along a mountain stream

C. Kelleher, T. Wagener, B. McGlynn, A. S. Ward, M. N. Gooseff, R. A. Payn
2013 Water Resources Research  
As such, calibrated parameter estimates should be accompanied by an assessment of parameter sensitivity or uncertainty.  ...  Identifiability is assessed through global, variance-based sensitivity analysis of the one-dimensional transport with inflow and storage model (OTIS).  ...  Sobol' analysis code was generated by Y. Tang, and generously shared by the Patrick Reed group at Penn State.  ... 
doi:10.1002/wrcr.20413 fatcat:54cbrzolsvgiphiybf75mpzlf4

An Extensive Study for a Wide Utilization of Green Architecture Parameters in Built Environment Based on Genetic Schemes

Ghada Elshafei, Silvia Vilčeková, Martina Zeleňáková, Abdelazim M. Negm
2021 Buildings  
Besides other approaches, the GA was incorporated as well as the Neural Network (NN), Simulated Annealing (SA), Fuzzy Set theory, decision-making multicriteria, and multi-objective programming.  ...  This paper introduces an exhaustive state-of-art review and current practices to look for the ideal green arrangement's models, procedures, and parameters utilizing the genetic algorithms innovations to  ...  Table 2 . 2 Extraction of data studies for analysis, and GA parameters.  ... 
doi:10.3390/buildings11110507 fatcat:7ww72kslfbcw7mzooeqkjdtjai

Statistical Parameters Based on Fuzzy Measures

Fernando Reche, María Morales, Antonio Salmerón
2020 Mathematics  
We also study parameters that allow the joint analysis of two functions defined over the same reference set.  ...  In this paper, we study the problem of defining statistical parameters when the uncertainty is expressed using a fuzzy measure.  ...  One of the groups include the methods that deal with the analysis of classical (non-fuzzy) data using methods based on fuzzy set theory, while the other group focuses on analyzing fuzzy data using statistical  ... 
doi:10.3390/math8112015 fatcat:mf4brbpeejel5nqrbhcezbbmpe

Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement

Billur Ecer, Mehmet Kabak, Metin Dagdeviren
2022 Reserche operationelle  
The main aim in this study is to propose an extension of IMSCP with fuzzy parameters with a proper solution approach.  ...  A case study of building energy labelling improvement in an existing building site in Ankara is solved by using parametric fuzzy solution approach of Carlsson and Korhonen.  ...  Solution approach for mathematical models with fuzzy parameters In some cases, all parameters of a linear programming problem may be defined by fuzzy uncertainty.  ... 
doi:10.1051/ro/2022024 fatcat:6zdyitj3wff7nni3wqt7rp543i

A simple and robust fuzzy-AHP-based Taguchi approach for multi-objective optimisation of welding process parameters

Arindam Majumder
2017 International Journal of Productivity and Quality Management  
Reference to this paper should be made as follows: Majumder, A. (2017) 'A simple and robust fuzzy-AHP-based Taguchi approach for multi-objective optimisation of welding process parameters', Int.  ...  In this paper, a novel performance integrating strategy based on fuzzy-AHP technique is introduced to the Taguchi method.  ...  Al-Refaie and Al-Tahat (2011) proposed an efficient approach to solve multi-response problem by combining benevolent formulation-based data envelopment analysis (DEA) with Taguchi philosophy.  ... 
doi:10.1504/ijpqm.2017.080695 fatcat:i4grkdqionfgtps3qgj7o5iqei

The Optimization of Packaging System Process Parameters Using Taguchi Method

I.O. Fagbolagun, S.A. Oke
2020 International Journal of Industrial Engineering and Engineering Management  
An L4 (23) Taguchi orthogonal array was selected to analyze the data, and signal-to-noise ratios were computed for each experiment's run.  ...  Through Taguchi's innovative approach, the feasibility of optimizing the packaging process parameters was demonstrated and validated.  ...  Taguchi with fuzzy (Chen and Hung, 2006) , fuzzy goal programming (Al-Refaie, 2015), grey relational analysis (Kumar and Pandey, 2015) , hybrid artificial intelligence (Hung, 2007) , neural network  ... 
doi:10.24002/ijieem.v2i1.3694 fatcat:ekuaaec23na6rdhxw6jma3cbki

Prediction of room acoustical parameters

A. C. Gade
1991 Journal of the Acoustical Society of America  
These data provide some velocity estimates in the vicinity of the BSR. The CDP data were transformed to the domain of vertical delay time and horizontal ray parameter for velocity analysis purposes.  ...  This unique combination of data provides an excellent means of identifying sediments containing biogcnie gas.  ...  If analysis of the data indicates excessive noise, the engineer should proceed with an approach to insure an acceptably quiet installation.  ... 
doi:10.1121/1.2029264 fatcat:lpivxh2jlzbj7m5fkzjiq3xqqi
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