Journal articles: 'Fuzzy multi-Criteria analysis'

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Yatsalo, Boris, Alexander Korobov, and L. Martínez. "Fuzzy multi-criteria acceptability analysis: A new approach to multi-criteria decision analysis under fuzzy environment." Expert Systems with Applications 84 (October 2017): 262–71. http://dx.doi.org/10.1016/j.eswa.2017.05.005.

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Boender, C. G. E., J. G. de Graan, and F. A. Lootsma. "Multi-criteria decision analysis with fuzzy pairwise comparisons." Fuzzy Sets and Systems 29, no. 2 (January 1989): 133–43. http://dx.doi.org/10.1016/0165-0114(89)90187-5.

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Osipov, Vladimir Petrovich, and Vladimir Anatolievich Sudakov. "Multi-criteria decision analysis with fuzzy preference areas." Keldysh Institute Preprints, no. 6 (2017): 1–16. http://dx.doi.org/10.20948/prepr-2017-6.

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Gandotra, Neeraj, Bartłomiej Kizielewicz, Abhimanyu Anand, Aleksandra Bączkiewicz, Andrii Shekhovtsov, Jarosław Wątróbski, Akbar Rezaei, and Wojciech Sałabun. "New Pythagorean Entropy Measure with Application in Multi-Criteria Decision Analysis." Entropy 23, no. 12 (November 29, 2021): 1600. http://dx.doi.org/10.3390/e23121600.

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The purpose of this paper is to propose a new Pythagorean fuzzy entropy for Pythagorean fuzzy sets, which is a continuation of the Pythagorean fuzzy entropy of intuitionistic sets. The Pythagorean fuzzy set continues the intuitionistic fuzzy set with the additional advantage that it is well equipped to overcome its imperfections. Its entropy determines the quantity of information in the Pythagorean fuzzy set. Thus, the proposed entropy provides a new flexible tool that is particularly useful in complex multi-criteria problems where uncertain data and inaccurate information are considered. The performance of the introduced method is illustrated in a real-life case study, including a multi-criteria company selection problem. In this example, we provide a numerical illustration to distinguish the entropy measure proposed from some existing entropies used for Pythagorean fuzzy sets and intuitionistic fuzzy sets. Statistical illustrations show that the proposed entropy measures are reliable for demonstrating the degree of fuzziness of both Pythagorean fuzzy set (PFS) and intuitionistic fuzzy sets (IFS). In addition, a multi-criteria decision-making method complex proportional assessment (COPRAS) was also proposed with weights calculated based on the proposed new entropy measure. Finally, to validate the reliability of the results obtained using the proposed entropy, a comparative analysis was performed with a set of carefully selected reference methods containing other generally used entropy measurement methods. The illustrated numerical example proves that the calculation results of the proposed new method are similar to those of several other up-to-date methods.

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KESHAVARZ GHORABAEE, Mehdi, Maghsoud AMIRI, Edmundas Kazimieras ZAVADSKAS, Reyhaneh HOOSHMAND, and Jurgita ANTUCHEVIČIENĖ. "FUZZY EXTENSION OF THE CODAS METHOD FOR MULTI-CRITERIA MARKET SEGMENT EVALUATION." Journal of Business Economics and Management 18, no. 1 (February 5, 2017): 1–19. http://dx.doi.org/10.3846/16111699.2016.1278559.

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One of the important activities of a company that can increase its competitiveness is market segment evaluation and selection (mse/mss). We can usually consider mse/mss as a multi-criteria decision-making (mcdm) problem, and so we need to use an mcdm method to handle it. Uncertainty is one of the important factors that can affect the process of decision-making. Fuzzy mcdm approached have been designed to deal with the uncertainty of decision-making problems. In this study, a fuzzy extension of the codas (combinative distance-based assessment) method is proposed to solve multi-criteria group decision-making problems. We use linguistic variables and trapezoidal fuzzy numbers to extend the codas method. The proposed fuzzy codas method is applied to an example of market segment evaluation and selection problem under uncertainty. To validate the results, a comparison is performed between the fuzzy codas and two other mcdm methods (fuzzy edas and fuzzy topsis). A sensitivity analysis is also carried out to demonstrate the stability of the results of the fuzz codas. For this aim, ten sets of criteria weights are randomly generated and the example is solved using each set separately. The results of the comparison and the sensitivity analysis show that the proposed fuzzy codas method gives valid and stable results.

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Simonnet, Damien, Eric Anquetil, and Manuel Bouillon. "Multi-criteria handwriting quality analysis with online fuzzy models." Pattern Recognition 69 (September 2017): 310–24. http://dx.doi.org/10.1016/j.patcog.2017.04.003.

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Mehrjerdi, Yahia Zare. "Hierarchical multi-criteria risk-benefit analysis in fuzzy environment." Applied Soft Computing 13, no. 1 (January 2013): 590–99. http://dx.doi.org/10.1016/j.asoc.2012.08.018.

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CAGRI TOLGA, A., FATIH TUYSUZ, and CENGIZ KAHRAMAN. "A FUZZY MULTI-CRITERIA DECISION ANALYSIS APPROACH FOR RETAIL LOCATION SELECTION." International Journal of Information Technology & Decision Making 12, no. 04 (July 2013): 729–55. http://dx.doi.org/10.1142/s0219622013500272.

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This paper proposes fuzzy multi-criteria decision-making approach integrated with fuzzy real option value theory. The applicability of the proposed method was shown on a real-world supermarket location selection problem. Based on the interviews with the experts, the evaluation criteria for retail location selection were identified. Then the network for fuzzy analytic network process (ANP) method was constructed. The fuzzy real option value for each alternative was calculated and used in the proposed approach as the representative of the financial dimension. Finally, the preference ranking of alternatives and the relative importance of the criteria were obtained. The significant contribution of the proposed approach is that it integrates the financial dimension (FROV) of the location problem methodologically with the multi-criteria characteristic (FANP) of the problem. Another importance of this study is the first usage of real options valuation in the area of location selection science.

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Subagadis, Y. H., N. Schütze, and J. Grundmann. "Multi-criteria multi-stakeholder decision analysis using a fuzzy-stochastic approach for hydrosystem management." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 464–69. http://dx.doi.org/10.5194/piahs-364-464-2014.

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Abstract. The conventional methods used to solve multi-criteria multi-stakeholder problems are less strongly formulated, as they normally incorporate only homogeneous information at a time and suggest aggregating objectives of different decision-makers avoiding water–society interactions. In this contribution, Multi-Criteria Group Decision Analysis (MCGDA) using a fuzzy-stochastic approach has been proposed to rank a set of alternatives in water management decisions incorporating heterogeneous information under uncertainty. The decision making framework takes hydrologically, environmentally, and socio-economically motivated conflicting objectives into consideration. The criteria related to the performance of the physical system are optimized using multi-criteria simulation-based optimization, and fuzzy linguistic quantifiers have been used to evaluate subjective criteria and to assess stakeholders' degree of optimism. The proposed methodology is applied to find effective and robust intervention strategies for the management of a coastal hydrosystem affected by saltwater intrusion due to excessive groundwater extraction for irrigated agriculture and municipal use. Preliminary results show that the MCGDA based on a fuzzy-stochastic approach gives useful support for robust decision-making and is sensitive to the decision makers' degree of optimism.

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Mei, Ye, Juanjuan Peng, and Junjie Yang. "Convex Aggregation Operators and Their Applications to Multi-Hesitant Fuzzy Multi-Criteria Decision-Making." Information 9, no. 9 (August 21, 2018): 207. http://dx.doi.org/10.3390/info9090207.

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Hesitant fuzzy sets (HFSs), which were generalized from fuzzy sets, constrain the membership degree of an element to be a set of possible values between zero and one; furthermore, if two or more decision-makers select the same value, it is only counted once. However, a situation where the evaluation value is repeated several times differs from one where the value appears only once. Multi-hesitant fuzzy sets (MHFSs) can deal effectively with a case where some values are repeated more than once in a MHFS. In this paper, the novel convex combination of multi-hesitant fuzzy numbers (MHFNs) is introduced. Some aggregation operators based on convex operation, such as generalized multi-hesitant fuzzy ordered weighted average (GMHFOWA) operator, generalized multi-hesitant fuzzy hybrid weighted average (GMHFHWA) operator, generalized multi-hesitant fuzzy prioritized weighted average (GMHFPWA) operator and generalized multi-hesitant fuzzy Choquet integral weighted average (GMHFCIWA) operator, are developed and corresponding properties are discussed in detail. Then, based on the proposed aggregation operators, a novel approach for multi-criteria decision-making (MCDM) problem is proposed for ranking alternatives. Finally, an example is provided to verify the developed approach and demonstrate its validity and feasibility and the study is supported by a sensitivity analysis and a comparison analysis.

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Papadopoulos, Christopher, Mike Spiliotis, Fotios Pliakas, Ioannis Gkiougkis, Nerantzis Kazakis, and Basil Papadopoulos. "Hybrid Fuzzy Multi-Criteria Analysis for Selecting Discrete Preferable Groundwater Recharge Sites." Water 14, no. 1 (January 4, 2022): 107. http://dx.doi.org/10.3390/w14010107.

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This study proposes a hybrid fuzzy multi-criteria methodology for the selection of the most preferable site for applying managed aquifer recharge (MAR) systems by utilizing floodwaters. The use of MAR can increase water resources for later water utilization in case of drought. In this multi-criteria problem, seven recharge sites are under consideration, based on nine criteria, aiming to make a final list of their relative ranking. A fuzzy analytic hierarchy process (FAHP) based on the logarithmic fuzzy preference programming (LFFP) method is used to determine the weights of criteria. LFFP is an optimization-based method that produces a priority vector from a fuzzy pairwise comparison matrix. Furthermore, fuzzy inference systems (FIS) based on the Mamdani approach are used to estimate the rating of each alternative with respect to the criterion examined, and then the final evaluation of the alternatives is obtained. A FIS is a fuzzy if–then rule-based system where the experts’ qualitative knowledge is translated into numerical reasoning for each individual criterion. The proposed methodology is applied in the aquifer system of the agricultural plain located to the southeast of the city of Xanthi in the Prefecture of Xanthi, NE Greece.

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Wang, Chu, and Liu. "Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis." Symmetry 12, no. 2 (February 7, 2020): 255. http://dx.doi.org/10.3390/sym12020255.

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With the development of social media, the social relationships among group decision makers should be taken into consideration when addressing group decision making problems. As an extension of the fuzzy set, the Pythagorean fuzzy set has recently been applied to depict the uncertainty in practical group decision problems. The purpose of this paper is to propose a multi-criteria Pythagorean fuzzy group decision approach considering social relations. In this paper, the similarity degree and the paths between any two experts in a social network are combined to construct a connection strength matrix to detect the leader among all the experts. A leader-following consensus reaching algorithm is proposed to adjust the multi-criteria Pythagorean fuzzy decision making matrix. Moreover, a procedure for the multi-criteria Pythagorean fuzzy group decision approach based on social network analysis is proposed. We use an example to illustrate the feasibility and advantages of the proposed method.

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Radmehr, Ahamd, and Shahab Araghinejad. "Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making." Water Resources Management 29, no. 12 (July 19, 2015): 4427–45. http://dx.doi.org/10.1007/s11269-015-1068-x.

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Carpitella, Silvia, Bruno Brentan, Idel Montalvo, Joaquín Izquierdo, and Antonella Certa. "Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems." Water Supply 19, no. 8 (August 13, 2019): 2338–46. http://dx.doi.org/10.2166/ws.2019.115.

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Abstract This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the non-dominated sorting genetic algorithm (NSGA-II) employed to solve the multi-objective problem. Various scenarios are evaluated under leakage uncertainty conditions, resulting in fuzzy solutions for the Pareto front. This paper shows the suitability of the approach for quasi real-world problems. In our case-study, the obtained solutions for scenarios including leakage represent the best trade-off among the optimal solutions, under some considered criteria, namely, operational cost, operational lack of service, pressure uniformity and network resilience. Potential future developments could include the use of clustering alternatives to evaluate the goodness of each solution under the considered evaluation criteria.

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Ahmad, Qazi Shoeb, Mohammad Faisal Khan, and Naeem Ahmad. "Multi-Criteria Group Decision-Making Models in a Multi-Choice Environment." Axioms 11, no. 11 (November 21, 2022): 659. http://dx.doi.org/10.3390/axioms11110659.

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The best–worst method (BWM) has recently demonstrated its applicability in addressing various decision-making problems in a practical setting. The traditional BWM method is based on deterministic information gathered from experts as pairwise comparisons of several criteria. The advantage of BWM is that it uses fewer calculations and analyses while maintaining good, acceptable consistency ratio values. A multi-choice best–worst method (MCBWM), which considers several options for pairwise comparison of preferences between the criteria, has recently been developed. The experts are given the option to select values from several comparison scales. The MCBWM technique has been shown to be better. Presenting the options for which an optimal solution has been found simplifies the calculation and establishes the ideal weight values. This study proposes two different mathematical programming models for solving multi-criteria decision-making problems having multiple decision-makers. The two methods are proposed considering the multi-choice uncertainty assumption in pairwise criteria comparisons. Additionally, it considers the best–worst method as the base model. The multi-choice uncertainty is applied to determine the best choice out of multiple choices. It gives a real-life scenario to the decision-making problems. Although there are many other forms of uncertainty, such as fuzzy, intuitionistic fuzzy, neutrosophic, probabilistic, etc., it focuses on choices instead of ambiguity in terms of the probabilistic or fuzzy nature of parameters. The parameter considered as multi-choice is the pairwise comparison. These parameters are handled by applying the Lagrange interpolating polynomial method. The proposed models are novel in terms of their mathematical structure and group decision-making approach. The models are formulated and further validated by solving numerical examples. It provides a framework for solving mcdm problems where the weightage to the decision-makers is also incorporated. The CR values for all the models of example 1 and 2, and the case study has been found acceptable.

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Villa Silva, Aldo Joel, Luis Pérez-Domínguez, Erwin Martínez Gómez, David Luviano-Cruz, and Delia Valles-Rosales. "Dimensional Analysis under Linguistic Pythagorean Fuzzy Set." Symmetry 13, no. 3 (March 8, 2021): 440. http://dx.doi.org/10.3390/sym13030440.

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Dimensional analysis under linguistic Pythagorean fuzzy set (DA-LPFS) is a technique to handle qualitative (intangible) as well as the interactions between criteria, by combining dimensional analysis (DA) and Pythagorean fuzzy set (PFS) with linguistic variables. In this paper, a novel DA method is proposed for LPFSs based in a PFS extension, in order to consider the mutual relationship among criteria and handle qualitative (fuzzy) and quantitative (crisp) information usually involved in Multi-criteria decision making (MCDM) problems. Finally, DA-LPFS is applied to handle a case concerning the selection of CNC router to illustrate the applicability of the method.

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Wang, Jing, Qing-Hui Chen, Hong-Yu Zhang, Xiao-Hong Chen, and Jian-Qiang Wang. "Multi-criteria decision-making method based on type-2 fuzzy sets." Filomat 31, no. 2 (2017): 431–50. http://dx.doi.org/10.2298/fil1702431w.

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Type-2 fuzzy sets (T2FSs) are the extension of type-1 fuzzy sets (T1FSs), which can convey more uncertainty information in solving multi-criteria decision-making (MCDM) problems. Motivated by the extension from interval numbers to triangular fuzzy numbers, three-trapezoidal-fuzzy-number-bounded type-2 fuzzy numbers (TT2FNs) are defined on the basis of interval type-2 trapezoidal fuzzy numbers (IT2TFNs), and they can convey more uncertainty information than T1FSs and IT2FSs. Moreover, the drawbacks of the existing computational models of generalized fuzzy numbers are analyzed, and a new computational model of fuzzy numbers is proposed, which is further extended to TT2FNs. Besides, a MCDM method is proposed to deal with the evaluation information given in the form of TT2FNs. Finally, an illustrative example and comparison analysis are provided to demonstrate the feasibility and validity of the proposed method.

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Ebrahimi, Morteza, and Khatereh Ahmadi. "Diabetes-Related Complications Severity Analysis Based on Hybrid Fuzzy Multi-Criteria Decision Making Approaches." Iranian Journal of Medical Informatics 6, no. 1 (June 16, 2017): 11. http://dx.doi.org/10.24200/ijmi.v6i1.129.

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Introduction: Type 2 diabetes mellitus is a significant global public health problem affecting more than 285 million people worldwide. Evidence suggests that lifestyle and other non-pharmacological interventions can delay and even prevent the development of disease and its complications. This disease should be effectively controlled because of its complications including cardiovascular diseases, neuropathy, retinopathy, kidney diseases and etc.Material and Methods: In this research two fuzzy Multi-Criteria Decision Making (MCDM) approaches including fuzzy TOPSIS and fuzzy Grey Relational Analysis (GRA) methods are used to decide the significance of each diabetes complications due to its main risk factors.Results: In GRA method values of the first pair-wise comparison between criterions were defined in interval-valued fuzzy numbers, this puts more accuracy on the problem and the final ranking obtained from this method was a little different in sorting and weights of alternatives compared to fuzzy TOPSIS method.Conclusion: It is a new view point of fuzzy MCDM methods to be used for analysis of complications due to a specific disease.

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Riaz, Muhammad, Khadija Akmal, Yahya Almalki, and S. A. Alblowi. "Cubic m-polar fuzzy topology with multi-criteria group decision-making." AIMS Mathematics 7, no. 7 (2022): 13019–52. http://dx.doi.org/10.3934/math.2022721.

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<abstract><p>The concept of cubic m-polar fuzzy set (CmPFS) is a new approach to fuzzy modeling with multiple membership grades in terms of fuzzy intervals as well as multiple fuzzy numbers. We define some fundamental properties and operations of CmPFSs. We define the topological structure of CmPFSs and the idea of cubic m-polar fuzzy topology (CmPF topology) with P-order (R-order). We extend several concepts of crisp topology to CmPF topology, such as open sets, closed sets, subspaces and dense sets, as well as the interior, exterior, frontier, neighborhood, and basis of CmPF topology with P-order (R-order). A CmPF topology is a robust approach for modeling big data, data analysis, diagnosis, etc. An extension of the VIKOR method for multi-criteria group decision making with CmPF topology is designed. An application of the proposed method is presented for chronic kidney disease diagnosis and a comparative analysis of the proposed approach and existing approaches is also given.</p></abstract>

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Ilieva, Galina, and Tania Yankova. "IoT System Selection as a Fuzzy Multi-Criteria Problem." Sensors 22, no. 11 (May 28, 2022): 4110. http://dx.doi.org/10.3390/s22114110.

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This research aims to analyse the applications of IoT in agriculture and to compare the most widely used IoT platforms. The problem of determining the most appropriate IoT system depends on many factors, often expressed by incomplete and uncertain estimates. In order to find a feasible decision, this study develops a multi-criteria framework for IoT solution selection in a fuzzy environment. In the proposed framework, a new modification of the Multi-Attribute Border approximation Area Comparison (MABAC) method with a specific distance measure via intuitionistic fuzzy values has been presented as a decision analysis method. The new technique is more precise than existing crisp and fuzzy analogues, as it includes the three components of intuitionistic numbers (degree of membership, degree of non-membership and hesitancy degree) and the relationships between them. The effectiveness of the new decision-making framework has been verified through an illustrative example of ranking IoT platforms.

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Kluczek, Aldona. "Multi-criteria decision analysis for simplified evaluation of clean energy technologies." Production Engineering Archives 23, no. 23 (June 1, 2019): 3–11. http://dx.doi.org/10.30657/pea.2019.23.01.

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Abstract Technology assessment (TA) is not a new concept. High value energy technology identification needs to be followed by a decision process in which all shareholders contribute. A case study on Combined and Heat Power (CHP) technologies considered is presented to illustrate the applicability of fuzzy analytical hierarchy assessment approach (FAHP). The goal of this paper is to identify and evaluate the best variant of CHP technologies using multi-criteria that are technical feasibly and cost effective reflecting performance parameters. The results depict that technology A2 with an overall ranking of 0.438 is the best alternative compared to others. Taking into consideration decision parameters for the section, A1 is found to be relatively most important with a rating of 0.434 with its reliability and cost effectiveness. The presented fuzzy-based methodology is general expected to be used by a diverse target groups in energy sectors.

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Goala, Soumendra, and Palash Dutta. "A study on fuzzy multi-criteria decision making in gunshot analysis." International Journal of Mathematics Trends and Technology 31, no. 2 (March 25, 2016): 89–94. http://dx.doi.org/10.14445/22315373/ijmtt-v31p517.

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Perçin, Selçuk. "Fuzzy multi‐criteria risk‐benefit analysis of business process outsourcing (BPO)." Information Management & Computer Security 16, no. 3 (July 18, 2008): 213–34. http://dx.doi.org/10.1108/09685220810893180.

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Feng, Chunhua, and Yunfei Mai. "Sustainability assessment of products based on fuzzy multi-criteria decision analysis." International Journal of Advanced Manufacturing Technology 85, no. 1-4 (October 22, 2015): 695–710. http://dx.doi.org/10.1007/s00170-015-7978-1.

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Afshar, Amin, Miguel A. Mariño, Motahareh Saadatpour, and Abbas Afshar. "Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System." Water Resources Management 25, no. 2 (October 16, 2010): 545–63. http://dx.doi.org/10.1007/s11269-010-9713-x.

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Hashmi, Masooma Raza, Syeda Tayyba Tehrim, Muhammad Riaz, Dragan Pamucar, and Goran Cirovic. "Spherical Linear Diophantine Fuzzy Soft Rough Sets with Multi-Criteria Decision Making." Axioms 10, no. 3 (August 13, 2021): 185. http://dx.doi.org/10.3390/axioms10030185.

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Modeling uncertainties with spherical linear Diophantine fuzzy sets (SLDFSs) is a robust approach towards engineering, information management, medicine, multi-criteria decision-making (MCDM) applications. The existing concepts of neutrosophic sets (NSs), picture fuzzy sets (PFSs), and spherical fuzzy sets (SFSs) are strong models for MCDM. Nevertheless, these models have certain limitations for three indexes, satisfaction (membership), dissatisfaction (non-membership), refusal/abstain (indeterminacy) grades. A SLDFS with the use of reference parameters becomes an advanced approach to deal with uncertainties in MCDM and to remove strict limitations of above grades. In this approach the decision makers (DMs) have the freedom for the selection of above three indexes in [0,1]. The addition of reference parameters with three index/grades is a more effective approach to analyze DMs opinion. We discuss the concept of spherical linear Diophantine fuzzy numbers (SLDFNs) and certain properties of SLDFSs and SLDFNs. These concepts are illustrated by examples and graphical representation. Some score functions for comparison of LDFNs are developed. We introduce the novel concepts of spherical linear Diophantine fuzzy soft rough set (SLDFSRS) and spherical linear Diophantine fuzzy soft approximation space. The proposed model of SLDFSRS is a robust hybrid model of SLDFS, soft set, and rough set. We develop new algorithms for MCDM of suitable clean energy technology. We use the concepts of score functions, reduct, and core for the optimal decision. A brief comparative analysis of the proposed approach with some existing techniques is established to indicate the validity, flexibility, and superiority of the suggested MCDM approach.

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Wang, Jing, Jian-Qiang Wang, Hong-Yu Zhang, and Xiao-Hong Chen. "Distance-Based Multi-Criteria Group Decision-Making Approaches with Multi-Hesitant Fuzzy Linguistic Information." International Journal of Information Technology & Decision Making 16, no. 04 (April 28, 2017): 1069–99. http://dx.doi.org/10.1142/s0219622017500213.

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In this paper, the distance-based multi-criteria group decision-making (MCGDM) approaches using multi-hesitant fuzzy linguistic term sets (MHFLTSs) are proposed. MHFLTSs can contain nonconsecutive and repetitive linguistic terms, so as to deal with repeated linguistic values in group decision-making. A multi-hesitant fuzzy linguistic term element (MHFLTE) can be produced by collecting the evaluation values of several decision-makers or given by one person who has uncertainty in evaluation. The corresponding set operations and comparison rules are defined and the generalized hesitant fuzzy linguistic distance for MHFLTEs is given based on the linguistic scale function. Then this distance is embedded into the TOPSIS, VIKOR and TODIM approaches for the purpose of solving multi-criteria decision-making (MCDM) problems in the context of multi-hesitant fuzzy linguistic information. With increasing concerns about deterioration in environment, organizations are obliged to carry out more environmental sustainable activities than before, such as progressive practices in green supply chain management (GSCM). Therefore, with respect to the application of MHFLTSs in GSCM, two illustrations for evaluating the related alternatives are finally provided, together with the sensitivity and comparison analysis, to show the validity and effectiveness of our proposal.

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Roszkowska, Ewa, and Tomasz Wachowicz. "The Multi-Criteria Negotiation Analysis Based on the Membership Function." Studies in Logic, Grammar and Rhetoric 37, no. 1 (August 8, 2014): 195–217. http://dx.doi.org/10.2478/slgr-2014-0025.

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Abstract In this paper we propose a multi-criteria model based on the fuzzy preferences approach which can be implemented in the prenegotiation phase to evaluate the negotiations packages. The applicability of some multi-criteria ranking methods were discussed for building a scoring function for negotiation packages. The first one is Simple Additive Weighting (SAW) technique which determines the sum of the partial satisfactions from each negotiation issue and aggregate them using the issue weights. The other one is Distance Based Methods (DBM), with its extension based on the distances to ideal or anti-ideal package, i.e. the TOPSIS procedure. In our approach the negotiator's preferences over the issues are represented by fuzzy membership functions and next a selected multi-criteria decision making method is adopted to determine the global rating of each package. The membership functions are used here as the equivalents of utility functions spread over the negotiation issues, which let us compare different type of data. One of the key advantages of the approach proposed is its usefulness for building a general scoring function in the ill-structured negotiation problem, namely the situation in which the problem itself as well as the negotiators preferences cannot be precisely defined, the available information is uncertain, subjective and vague. Secondly, all proposed variants of scoring functions produce consistent rankings, even though the new packages are added (or removed) and do not result in rank reversal.

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Ilieva, Galina. "Group Decision Analysis with Interval Type-2 Fuzzy Numbers." Cybernetics and Information Technologies 17, no. 1 (March 1, 2017): 31–44. http://dx.doi.org/10.1515/cait-2017-0003.

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Abstract This paper presentsagroup multi-criteria DEMATELand VIKORdecision analysis method with interval type-2 fuzzy sets. In order to compare normal fuzzy trapezoidal numbers, we convert them into crisp values using graded mean integration representation. Byacase study for selection of business intelligence platform, we prove that the proposed combination isafeasible solution that can work with benefits and costs criteria, while also reducing uncertainty in experts’assessments.

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Ilieva, Galina, Tania Yankova, Irina Radeva, and Ivan Popchev. "Blockchain Software Selection as a Fuzzy Multi-Criteria Problem." Computers 10, no. 10 (September 24, 2021): 120. http://dx.doi.org/10.3390/computers10100120.

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Increased consumer requirements for quality, safety and traceability of goods in supply chains has accelerated the implementation of blockchain during the COVID-19 pandemic. The right choice of blockchain software is a complicated task and an important prerequisite for successful deployment. In this study, we propose a conceptual framework for group multi-criteria selection of blockchain software in fuzzy environment according to organization needs and experts’ judgements. The applicability of the new framework has been verified through an illustrative example for ranking blockchain systems. The evaluations of compared alternatives were calculated by using measurement of alternatives and ranking according to the compromise solution (MARCOS) method. The robustness of the new framework was proven by sensitivity analysis in which two (crisp and fuzzy) MARCOS models with two different sets of weighting coefficients were compared.

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Dai, Zeqi, Simin Xu, Xue Wu, Ruixue Hu, Huimin Li, Haoqiang He, Jing Hu, and Xing Liao. "PD46 Multi-Criteria Decision Analysis In Healthcare: Scientometric And Bibliometric Analysis." International Journal of Technology Assessment in Health Care 38, S1 (December 2022): S107. http://dx.doi.org/10.1017/s0266462322003051.

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IntroductionMulti-criteria decision analysis (MCDA) is a useful tool in complex decision-making situations and has been used in medical fields to evaluate treatment options and drug selection. We aimed to provide valuable insights on the use of MCDA in health care through examining the research focus of existing studies, major fields, major applications, most productive authors and countries, and most common journals in the domain using a scientometric and bibliometric analysis.MethodsPublications related to MCDA in health care were identified by searching the Web of Science Core Collection on 14 July 2021. Three bibliometric software programs (VOSviewer, Bibliometrix, and CiteSpace) were used to conduct the analysis.ResultsA total of 410 publications were identified from 196 academic journals (average yearly growth rate of 32% from 1999 to 2021), with 23,637 co-cited references by 871 institutions from 70 countries or regions. The USA was the most productive country (n=80), while the Universiti Pendidikan Sultan Idris (n=16), Université de Montréal (n= 13), and Syreon Research Institute (n=12) were the most productive institutions. The biggest nodes in every cluster of author networks were Aos Alaa Zaidan, Mireille Goetghebeur, and Zoltan Kalo. The top journals in terms of number of articles (n=17) and citations (n=1,673) were Value in Health and the Journal of Medical Systems, respectively. The research hotspots mainly included the analytic hierarchy process (AHP), decision-making, health technology assessment, and healthcare waste management. In the recent literature there was more emphasis on coronavirus disease 2019 (COVID-19) and fuzzy Technique for Order Preference by Similarities to Ideal Solution (TOPSIS). Big data, telemedicine, TOPSIS, and the fuzzy AHP, which are well-developed and important themes, may be the trends in future research.ConclusionsThis study provides a holistic picture of the MCDA-related literature published in health care. MCDA has a broad application in different topic areas and would be helpful for practitioners, researchers, and decision makers working in health care when faced with complex decisions. It can be argued that the door is still open for improving the role of MCDA in health care, both in its technologies and its application.

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Emovon, I. "A Fuzzy Multi-Criteria Decision-Making Approach for Power Generation Problem Analysis." Journal of Engineering Sciences 7, no. 2 (2020): E26—E31. http://dx.doi.org/10.21272/jes.2020.7(2).e5.

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The abundance of different energy sources such as coal, natural gas, and crude oil are in the Africa region, yet one of the lowest electric energy per capita consumption. Different factors have been attributed to this abysmal energy failure in the literature, leading to her slow economic and industrial advancement. These factors include poor maintenance of power generation infrastructure and lack of policy continuity, among others. The purpose of this article is to prioritize these power generation problems for proper budgetary allocation by managers of electric power. The fuzzy VIKOR technique is presented for the evaluation and ranking of these power generation problems. The analysis showed that poor maintenance is the most critical challenge of bedeviling power generation in Nigeria. The Fuzzy VIKOR produces the same result as the classical VIKOR used previously in resolving the problem. The proposed technique addresses the challenge of uncertainty and subjectivity by applying linguistic variables in the decision-making process, which the classical VIKOR is incapable of handling.

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Abdullah, Ade Gafar, Almira Hery Setiorini, Nabila Andara Dwitasari, Dadang Lukman Hakim, and Muhammad Aziz. "Location Suitability Analysis for Wind Farm Exploitation Using Fuzzy Analytic Hierarchy Process." Indonesian Journal of Science and Technology 6, no. 3 (August 21, 2021): 523–34. http://dx.doi.org/10.17509/ijost.v6i3.38957.

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The development of renewable energy has been constantly conducted as an attempt to increase energy diversification, improve energy sustainability and reduce greenhouse gas emissions, including the wind power plant (WPP). Suitable location selection is urgently necessary to achieve optimized output and high economic values. There are multi-criteria to be considered during the selection process, namely wind velocity, climate condition, road access, environmental impact, land use, land tilt, plain condition, distance to residential areas, etc. This study aimed to develop a software supporting multi-criteria decision-making based on artificial intelligent technology, namely fuzzy analytic hierarchy process (fuzzy-AHP) which was implemented to evaluate the WPP location suitability. The method of fuzzy-AHP is believed to be able to generate prioritized criteria supporting the location of WPP with high accuracy. Based on those criteria, there were two locations identified at Tanah Laut Regency, South Kalimantan, Indonesia, as the most suitable research sites. It is expected that studies employing fuzzy-AHP are to be further developed to determine wider renewable WPP locations.

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Modibbo, Umar Muhammad, Musa Hassan, Aquil Ahmed, and Irfan Ali. "Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzy TOPSIS." Management Decision 60, no. 3 (January 13, 2022): 806–36. http://dx.doi.org/10.1108/md-10-2020-1335.

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PurposeSupplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.Design/methodology/approachThe concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.FindingsThis study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.Research limitations/implicationsThis research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.Practical implicationsThis work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.Originality/valueIn this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.

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Li, Huilin, Jiaqi Yang, and Ziquan Xiang. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers." Sustainability 14, no. 20 (October 13, 2022): 13114. http://dx.doi.org/10.3390/su142013114.

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Under the influence of COVID-19, various emergency supplies have repeatedly broken links, seriously affecting normal life and hindering the sustainable development of enterprises and society. Therefore, suitable emergency suppliers are crucial. To prioritize and select suitable emergency suppliers, key indicators were determined, and evaluation models were established based on the characteristics of epidemic situations and epidemic prevention materials. The application of the MCDM (multi-criteria decision-making) issue combining fuzzy SWARA (the stepwise weight assessment ratio analysis) and the actor analysis method to emergency supplier selection studies, called the fuzzy SWARA-based actor analysis method, is used to identify appropriate suppliers for optimizing pre-preparation. Results of evaluation system weight computations by the Fuzzy SWARA-based actor analysis method show that the overall prioritization of four non-economic factors in ranking orders are “Delivery Capacity”, “Flexible Supply Capacity”, “Quality”, and “Social Evaluation and Reputation”. For the inclusion of conflicting standards and the unquantifiable feature, economic and non-economic factors were discussed separately and evaluated by language variables. Additionally, the fuzzy actor analysis indicated that economic factors and non-economic factors need to be considered comprehensively for emergency supplier selection. This method has good operability and reference value, convenient for the final choice making according to actual situation.

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Wang, Wei-Ming, and Hsiao-Han Peng. "A Fuzzy Multi-Criteria Evaluation Framework for Urban Sustainable Development." Mathematics 8, no. 3 (March 3, 2020): 330. http://dx.doi.org/10.3390/math8030330.

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With the rapid transformations of living environments, urban sustainable development has become an important global issue for urban growth and management. In order to effectively implement urban sustainable development, it is necessary to establish an operational action model based on its nature. This study first clarifies the core value of urban quality of life (QOL), and proposes the corresponding concept of Life–City. A variety of factors may affect the content of Life–City, and when assessing the objectives of sustainable development, there are uncertain properties and value judgments. Therefore, Life–City evaluation is a fuzzy multi-criteria decision analysis (FMCDA) problem. This study constructs the dimensions and the possible impact factors for urban QOL development. The fuzzy Delphi method (FDM) is employed to screen evaluation criteria and develop the overall evaluation framework. In order to effectively convert the subjective and perceptual issues in the framework into objective and quantitative processing, this study adopts the extent analysis method on fuzzy AHP (EAFAHP) to aggregate experts’ comments as empirical evaluation. The research results can convert the abstract concept of sustainability to the evaluation of Life–City specific operation, and serve as guidance for self-examination of current status and future policy development.

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Maddahi, Z., A. Jalalian, M. M. Kheirkhah Zarkesh, and N. Honarjo. "Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran." Soil and Water Research 12, No. 1 (January 18, 2017): 29–38. http://dx.doi.org/10.17221/1/2016-swr.

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Land suitability analysis and preparing land use maps is one of the most beneficial applications of the Geographic Information System (GIS) in planning and managing land recourses. The main objective of this study was to develop a fuzzy multi-criteria decision making technique integrated with the GIS to assess suitable areas for rice cultivation in Amol District, Iran. Several suitability factors including soil properties, climatic conditions, topography, and accessibility were selected based on the FAO framework and experts’ opinions. A fuzzy analytical hierarchical process (FAHP) was used to determine the weights of the various criteria. The GIS was used to overlay and generate criteria maps and a land suitability map. The study area has been classified into four categories of rice cultivation suitability (highly suitable, suitable, moderately suitable, and unsuitable). The present study has attempted to introduce and use the FAHP method to land suitability analysis and to select lands in order to be used as best as possible. Areas that are classified as highly suitable and suitable for rice cultivation constitute about 59.8% of the total area of the region. The results of the present research indicate that the FAHP is an efficient strategy to increase the accuracy of the weight of the criteria affecting the analysis of land suitability.

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Adeel, Arooj, Muhammad Akram, and Ali N. A. Koam. "Multi-Criteria Decision-Making under mHF ELECTRE-I and HmF ELECTRE-I." Energies 12, no. 9 (May 1, 2019): 1661. http://dx.doi.org/10.3390/en12091661.

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In a few years, hesitant fuzzy sets (HFSs) have had an impact on several different areas of decision science. However, a number of researches have utilized the Elimination and choice translating reality (ELECTRE) methods to determine the multi-criteria decision-making (MCDM) problems with hesitant information. The aim of this research article is to develop new multi-criteria group decision-making (MCGDM) methods, such as the m-polar hesitant fuzzy ELECTRE-I (mHF ELECTRE-I) method and hesitant m-polar fuzzy ELECTRE-I (HmF ELECTRE-I) method. Proposed MCGDM techniques based on the hybrid models, m-polar hesitant fuzzy sets (mHFS-sets) and hesitant m-polar fuzzy sets (HmF-sets), which are the natural generalizations of HFSs and m-polar fuzzy sets (mF sets). These models enable us to deal with multipolar information under hesitancy. We use the proposed methods to deal the complex problems in which the membership degree of an element of given set uses the m different numeric and fuzzy values, to rank all the alternatives and to determine the best alternative. We present two practical examples that illustrate the procedure of the proposed methods. We also discuss the differences and comparative analysis of the proposed methods. Finally, we develop an algorithm that implements our decision-making procedures by using computer programming.

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Manusov, Vadim, Sergey Kokin, and Javod Ahyoev. "Multi-criteria analysis of fuzzy symptoms of electrical faults in power systems." International Journal of Energy Production and Management 3, no. 2 (August 1, 2018): 89–96. http://dx.doi.org/10.2495/eq-v3-n2-89-96.

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R. Hindi, Khaled, Ahmed El-Assal, and Ibrahim Sabry. "Multi-criteria decision making methods comparative analysis in Fuzzy Environment: Article review." Benha Journal of Applied Sciences 7, no. 5 (May 1, 2022): 227–35. http://dx.doi.org/10.21608/bjas.2022.260612.

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Charabi, Yassine, and Adel Gastli. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation." Renewable Energy 36, no. 9 (September 2011): 2554–61. http://dx.doi.org/10.1016/j.renene.2010.10.037.

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Nikfalazar, Sanaz, Hadi Akbarzade Khorshidi, and Ali Zeinal Hamadani. "Fuzzy risk analysis by similarity-based multi-criteria approach to classify alternatives." International Journal of System Assurance Engineering and Management 7, no. 3 (January 30, 2016): 250–56. http://dx.doi.org/10.1007/s13198-016-0414-6.

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Hasanloo, M., P. Pahlavani, and B. Bigdeli. "FLOOD RISK ZONATION USING A MULTI-CRITERIA SPATIAL GROUP FUZZY-AHP DECISION MAKING AND FUZZY OVERLAY ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 455–60. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-455-2019.

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Abstract. In this study, a GIS based approach has been proposed for the flood risk zonation based on a multi-criteria spatial group fuzzy AHP decision making analysis and its integration with fuzzy overlay analysis. For this purpose, 10 layers affecting flood occurrence have been used including: the Digital Elevation Model (DEM), Slope, NDVI, Flow Accumulation (Flow Ac.), HOFD, VOFD, Topographic Position Index (TPI), Topographic Wetness Index (TWI), Curve Number (CN), Modified Fournier Index. Each layer was classified into 5 sub-classes and their preference at its layer was weighted by a group of experts using fuzzy analytical hierarchy processes (GFAHP) method. Finally, the risk map of the studied area with the weight of experts and fuzzy overlay method was product and divided into five categories.

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Mashal, Ibrahim, and Osama Alsaryrah. "Fuzzy analytic hierarchy process model for multi-criteria analysis of internet of things." Kybernetes 49, no. 10 (November 18, 2019): 2509–20. http://dx.doi.org/10.1108/k-11-2018-0592.

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Purpose Nowadays, there are various internet of things (IoT) applications covering many aspects of daily life. Many people own numerous smart objects that use these IoT applications. The purpose of this study is determining suitable IoT applications for each user which is a relevant challenge because it is amulti-criteria decision-making. Design/methodology/approach To solve this challenge, the authors propose fuzzy analytical hierarchy process model. Based on the opinions of IoT experts, the model and the hierarchy were designed to assess and compare three crucial IoT criteria, namely, object, application and providers. Findings The results indicated that the application criterion is far more relevant for users other than the two criteria. The findings of this study offer insights into more effective decision-making for IoT application developers and providers. Originality/value This study contributes to the IoT through proposing a fuzzy model to classify IoT applications. The findings provide meaningful implications for IoT application providers.

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EFE, Burak. "An integrated fuzzy approach based failure mode and effects analysis for a risk assessment." Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11, no. 2 (June 30, 2022): 681–96. http://dx.doi.org/10.17798/bitlisfen.1088988.

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This paper provides to cope with the limitations of traditional FMEA by using an integrated fuzzy multi-criteria decision making method, which considers fuzzy extension of AHP (Analytic Hierarchy Process) and fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and a linear programming. The proposed method is shown for an application to failure mode and effects analysis (FMEA) based risk assessment of a construction firm. Firstly, fuzzy extension of AHP approach is utilized to define the weights of criteria in risk evaluation. Secondly, fuzzy TOPSIS approach is used to determine the most important failure mode in the construction firm. This work handles a sensitivity analysis and a comparison with the other methods. FMEA related papers in the literature presents only ranking of failure modes by using various methods. This study aims to handle the limited resources such as budget and time in a linear programming to establish a suitable occupational health and safety policy.

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Stanković, Miomir, Željko Stević, Dillip Kumar Das, Marko Subotić, and Dragan Pamučar. "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis." Mathematics 8, no. 3 (March 24, 2020): 457. http://dx.doi.org/10.3390/math8030457.

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In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.

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Wen, Xiaofeng, and Xiaohong Zhang. "Overlap Functions Based (Multi-Granulation) Fuzzy Rough Sets and Their Applications in MCDM." Symmetry 13, no. 10 (September 24, 2021): 1779. http://dx.doi.org/10.3390/sym13101779.

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Through a combination of overlap functions (which have symmetry and continuity) and a fuzzy β-covering fuzzy rough set (FCFRS), a new class of FCFRS models is established, and the basic properties of the new fuzzy β-neighborhood lower and upper approximate operators are analyzed and studied. Then the model is extended to the case of multi-granulation, and the properties of a multi-granulation optimistic fuzzy rough set are mainly investigated. By theoretical analysis for the fuzzy covering (multi-granulation) fuzzy rough sets, the solutions to problems in multi-criteria decision-making (MCDM) and multi-criteria group decision-making (MCGDM) problem methods are built, respectively. To fully illustrate these methodologies, effective examples are developed. By comparing the method proposed in this paper with the existing methods, we find that the method proposed is more suitable for solving decision making problems than the traditional methods, while the results obtained are more helpful to decision makers.

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J, Aldring, and Ajay D. "Critic-entropy based fuzzy decision making models: a systematic analysis." Journal of Computational Mathematica 5, no. 1 (June 17, 2021): 132–41. http://dx.doi.org/10.26524/cm100.

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This research article presents a comprehensive analysis of weighting methods used in fuzzy multi attribute decision making (MADM) methods. These methods involve various criteria in order to evaluate alternatives and determining the weights of criteria is a significant problem that arises very often in many MADM problems. In this research paper, CRTITIC and Entropy weighting methods have been used for finding criteria’s weights like in many research works. Using these unsupervised methods of assigning criteria weights, seven fuzzy MADM methods are examined in the context of ranking the best company to invest in. From the results of these methods, ranking order of alternatives is obtained and are analysed for reliability.

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Osintsev, N. A. "Multi-Criteria Decision-Making Methods in Green Logistics." World of Transport and Transportation 19, no. 5 (July 9, 2022): 105–14. http://dx.doi.org/10.30932/1992-3252-2021-19-5-13.

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Due to the increased demands of the world community in accordance with the goals of the concept of sustainable development, supply chain management requires complex decisionmaking models that consider many environmental, economic, and social constraints when implementing various environmentally friendly, green methods and technologies. An effective tool in such conditions is the use of MCDM, multi-criteria decision-making methods. The objective of the research, the results of which are provided in the article, is to analyse the application of MCDM in green logistics and management of green supply chains. The work used a set of methods including system and structural-functional analysis, methods of the theory of fuzzy sets, mathematical statistics, and expert assessments. A general scheme of MCDM implementation is offered and a combined MCDM model is developed for assessing decisions on the choice of green technologies, including a system of indicators for logistics flows, a model for managing logistics flows and a system of tools for green logistics. In the MCDM model, a fuzzy analytical hierarchical process (fuzzy AHP) is used to establish the weight of indicators of logistics flows, eleven MCDM methods are used to rank green logistics tools: SAW, TOPSIS, PROMETHEE, COPRAS, ARAS, WASPAS, MAIRCA, EDAS, MABAC, CODAS, MARCOS. Comparison of the use of various MCDM methods showed a high convergence of the ranking results (Spearman’s rank correlation coefficient is of 0.949). The most consistent are SAW, MARCOS and WASPAS methods, the least consistent are CODAS methods. The results of the design example showed that the most preferable solution is the «use of intermodal technologies and multimodal transportation» (ranked first within all eleven methods), the least preferable solution is the «use of environmentally friendly fuels and lubricants (fuels)» (ranked 12th within 10 methods of 11).

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Lau, Henry, Dilupa Nakandala, Premaratne Samaranayake, and Paul Shum. "A hybrid multi-criteria decision model for supporting customer-focused profitability analysis." Industrial Management & Data Systems 116, no. 6 (July 11, 2016): 1105–30. http://dx.doi.org/10.1108/imds-10-2015-0410.

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Purpose – Strategic analysis of customer profitability for assessing market segmentation and reconfiguring customer relationship management (CRM) activities remains the key factor for achieving high return on CRM investment. The purpose of this paper is to map the profit-based ranking of corporate customers into the current market segments, with a view of determining the relative profitability of each market segment. Design/methodology/approach – This study develops a novel model that combines activity-based costing (ABC), CRM, fuzzy analytic hierarchy process (AHP), and technique for order preference by similarity to ideal solution (TOPSIS) methods to evaluate strategically customer profitability and prioritizing corporate accounts. This case study airline company has invested heavily in CRM over the past seven years on integrating multi-functional departments that touch customers. The airline operations management and marketing functions provide key inputs. Results of the hybrid model validate feasibility of the proposed model. Findings – The airline management makes use of the ranking results to optimize customer profitability by reconfiguring marketing programs, integrated schedule design, fleet assignment, maintenance routing, crew scheduling, and real-time optimization of schedule recovery in the aftermath of disruptions or irregularities. The proposed model also directs the marketing function to customize service offerings and introduce appropriate service levels to engage customers of different segments for the purpose of maximizing corporate profitability. Research limitations/implications – Significant amount of investment is necessary to design and implement the extensive CRM database and systems to assure customer data quality and availability so as to bear fruits in the proposed hybrid model. These data requirements can especially be a critical barrier for small to medium-sized companies. Practical implications – This hybrid model is able to capitalize on the benefits of the ABC, CRM, fuzzy AHP, and TOPSIS methods and offset their deficiencies. Most importantly, it can be applied to various industries without complex modification. Originality/value – This study represents the first move to adopt the fuzzy AHP and TOPSIS methods to analyze the ABC and CRM data inputs of an airline company. In mapping the profit-based ranking of corporate customers into the current market segments, the relative profitability of each market segment can be determined.

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Journal articles on the topic 'Fuzzy multi-Criteria analysis'

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