Relevant bibliographies by topics / Fuzzy synthetic decision

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Fuzzy synthetic decision'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Fuzzy synthetic decision"

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Liang, Ru, and Heap-Yih Chong. "A hybrid group decision model for green supplier selection: a case study of megaprojects." Engineering, Construction and Architectural Management 26, no. 8 (September 16, 2019): 1712–34. http://dx.doi.org/10.1108/ecam-10-2018-0462.

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Purpose Green supplier selection is one of the crucial activities in green supply chain management. However, limited studies have addressed the vagueness and complexities during the selection process, particularly in multi-criterion decision-making (MCDM) circumstances. Hence, the purpose of this paper is to develop a group decision model using a modified fuzzy MCDM approach for green supplier selection under a complex situation. Design/methodology/approach The proposed study develops a framework for sorting decisions in green supplier selection by using the hesitant fuzzy qualitative flexible multiple attributes method (QUALIFLEX). The synthetic consistent or inconsistent indexes were used to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix. Findings The proposed framework has been successfully applied and illustrated in the case example of CB02 contract section in Hong Kong–Zhuhai–Macau Bridge project. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The synthetic (in)consistent indexes are able to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix. Originality/value The research contributes to improving accuracy and reliability decision-making processes for green supplier selection, especially under vagueness and complex situations in megaprojects.
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Wang, Jian Wei, and Jian Ming Zhang. "A Synthetic Evaluation Method of Cell Formation Schemes." Applied Mechanics and Materials 278-280 (January 2013): 2238–43. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2238.

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A decision support system based on scenario for multi-attribute selection of cell formation schemes is developed. The system combines fuzzy set theory and group decision with the AHP to decrease the influence of decision makers’ subjective preferences and control the uncertain and imprecise variations during evaluation process. The importance weights of different criteria and the ratings of various alternatives under different criteria are evaluated in linguistic terms represented by fuzzy numbers. The intangible criteria and criteria weights are determined by group decision which can integrate all decision makers’ subjective opinions based on different scenarios. Besides, fuzzy value of each of the alternatives is computed by making use of standard fuzzy arithmetic. The degree of confidence and risk index are also joined, so that decision makers can adjust them to match real context. Finally, a case of individual selection about cell formation is given, and the results demonstrate the proposed approach is both effective and robust.
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Cheng, J., and Z. Y. Yang. "Fuzzy synthetic decision-making system in ferrographic analysis." Wear 222, no. 1 (November 1998): 1–20. http://dx.doi.org/10.1016/s0043-1648(98)00271-3.

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Zhang, Yin Dong, and Yang Liu. "The Skimmer Selection Based on Fuzzy Decision in Response to Oil Spill." Applied Mechanics and Materials 597 (July 2014): 472–75. http://dx.doi.org/10.4028/www.scientific.net/amm.597.472.

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The decision method based on Fuzzy Synthetic Evaluation is presented to achieve skimmer selection in oil spill response. Firstly, the evaluation index system of skimmer is determined. Secondly, the fuzzy set theory is introduced to achieve quantification of skimmer qualitative indexes and the evaluation matrix of skimmer is established by expert investigation. Then the alternative skimmers are evaluated by the method of Fuzzy Synthetic Evaluation, and the optimal selection of skimmer can be obtained.
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Olabanji, Olayinka Mohammed, and Khumbulani Mpofu. "Fusing Multi-Attribute Decision Models for Decision Making to Achieve Optimal Product Design." Foundations of Computing and Decision Sciences 45, no. 4 (December 1, 2020): 305–37. http://dx.doi.org/10.2478/fcds-2020-0016.

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Abstract Manufacturers need to select the best design from alternative design concepts in order to meet up with the demand of customers and have a larger share of the competitive market that is flooded with multifarious designs. Evaluation of conceptual design alternatives can be modelled as a Multi-Criteria Decision Making (MCDM) process because it includes conflicting design features with different sub features. Hybridization of Multi Attribute Decision Making (MADM) models has been applied in various field of management, science and engineering in order to have a robust decision-making process but the extension of these hybridized MADM models to decision making in engineering design still requires attention. In this article, an integrated MADM model comprising of Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy Pugh Matrix and Fuzzy VIKOR was developed and applied to evaluate conceptual designs of liquid spraying machine. The fuzzy AHP was used to determine weights of the design features and sub features by virtue of its fuzzified comparison matrix and synthetic extent evaluation. The fuzzy Pugh matrix provides a methodical structure for determining performance using all the design alternatives as basis and obtaining aggregates for the designs using the weights of the sub features. The fuzzy VIKOR generates the decision matrix from the aggregates of the fuzzified Pugh matrices and determine the best design concept from the defuzzified performance index. At the end, the optimal design concept is determined for the liquid spraying machine.
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Yang, Xiao Xia, Xiao Ping Zhang, and Min Yan. "Fuzzy Comprehensive Evaluation of the Garment CAD." Advanced Materials Research 267 (June 2011): 843–47. http://dx.doi.org/10.4028/www.scientific.net/amr.267.843.

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The fuzzy synthesis judgment is a very effective multi-factor decision method to make the comprehensive appraisal to the things affected by many factors. Affected by many uncertain factors, the garment CAD is suited with the fuzzy synthesis judgment theory to carry on the quality synthetic evaluation. Based on the fuzzy comprehensive evaluation theory and step, it is established that the second-level fuzzy synthesis judgment model of garment CAD, by carrying on the questionnaire survey to the educational circles, the garment CAD software developer, the enterprise's experts, and the rich experienced personnel . The judgment factor and the factor weight evaluated by the experts also can be regarded as the clothing enterprises’ reference when they select and purchase the garment CAD.
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Deng, Pu Jun, Jian Dong Lu, and Wei Fang. "Research on Applying Fuzzy Theory into Printer Quality Evaluation." Applied Mechanics and Materials 469 (November 2013): 362–67. http://dx.doi.org/10.4028/www.scientific.net/amm.469.362.

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From printing technology’s perspective, printing quality is determined by the comprehensive effects of all the printing product appearance features. The factors which dominate to comprehensive effects of all the printing product appearance features include definition of image, tone rendering, color rendering, uneven, and gloss, etc. In the print quality evaluation, this factor is affected by many other factors. Therefore, printing quality evaluations are indeterminate. Most of printing quality evaluations belongs to fuzzy theory, which brings a lot of troubles to the printing quality evaluation. The paper mainly research that the synthesis decision-making method in fuzzy mathematics theory is used to tone reproduction of printing quality, and analyze the feasibility of applying Fuzzy Synthetic Evaluation Model in printing quality evaluation. The synthesis decision-making method is used to determine the tone indicator system of printing, establish Fuzzy Evaluation Mode, and analyze the influencing factors. Through the evaluation of numerous experts, the weight will be offered for the specified factors. On the basis of weights, printing quality can be evaluated by determining the membership function of all the factors and calculating the score through fuzzy algorithm. The paper studies have shown that the synthesis decision-making method in fuzzy mathematics theory can be used to solve the printer quality evaluation problem and is valid for evaluating the results in actual application.
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Lee, Yueh-Hua, and Hsiao-Chien Chang. "The application of fuzzy synthetic decision approach to brand evaluation." Journal of Statistics and Management Systems 8, no. 2 (January 2005): 343–53. http://dx.doi.org/10.1080/09720510.2005.10701163.

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Hsieh, Ching-Sen, Yu-Wen Chen, Chih-Hung Wu, and Tao Huang. "Characteristics of fuzzy synthetic decision methods for measuring student achievement." Quality & Quantity 46, no. 2 (November 27, 2010): 523–43. http://dx.doi.org/10.1007/s11135-010-9384-y.

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Zhang, Yan, and Oh Kyoung Kwon. "Location Decision of City Logistics Facility Based on Fuzzy Synthetic Evaluation." Applied Mechanics and Materials 33 (October 2010): 351–55. http://dx.doi.org/10.4028/www.scientific.net/amm.33.351.

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The concept of city logistics facilities is to help establish more efficient urban logistics systems for both private companies and society, reduce the total social and environmental costs of urban freight transport and improve the urban traffic conditions on the road network. This study adopts a fuzzy synthetic evaluation method to determine the optimal location of city logistics facilities.
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Dissertations / Theses on the topic "Fuzzy synthetic decision"

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Ploeger, Sarah Katherine. "Development and Application of the CanRisk Injury Model and a Spatial Decision Support System (SDSS) to Evaluate Seismic Risk in the Context of Emergency Management in Canada: Case Study of Ottawa, Canada." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31536.

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Approximately 43% of Canada’s population reside in urban centres at most seismic risk.This research creates practical and proactive tools to support decision making in emergency management regarding earthquake risk. This proactive approach evaluates the potential impact of future earthquakes for informed mitigation and preparedness decisions. The overall aims are to evaluate a community’s operational readiness, reveal limitations and resources gaps in the emergency plan, test potential mitigation and preparedness strategies and provide a realistic earthquake scenario for training activities. Two models, the CanRisk injury model and a disaster Spatial Decision Support System (SDSS), were designed and developed to further evaluate seismic risk on a community scale. The injury model is an extension of the engineering-based CanRisk tool and quantifies an individual’s risk to injury, the number of injuries, and provides an injury profile of life-threatening injuries at the building scale. The model implements fuzzy synthetic evaluation to quantify seismic risk, mathematical calculations to estimate number of injuries, and a decision-matrix to generate the injury profile. The SDSS is an evidence-based model that is designed for the planning phase to evaluate post-earthquake emergency response. Loss estimations from Hazus Canada and the CanRisk injury model are combined with community geospatial data to simulate post-earthquake conditions that are important for immediate post-earthquake response. Fire services, search and rescue operations (including urban search and rescue and police services), emergency medical services, and relief operations are all modelled. A case study was applied to 27 neighbourhoods in Ottawa, Canada, using a M6.0 and M7.25 scenarios. The models revealed challenges to all emergency response units. A critical threshold exists between the M6.0 and M7.25 scenarios whereby emergency response moves from partial but manageable functionality to a complete system breakdown. The models developed in this research show great utility to emergency managers in Canada.
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Book chapters on the topic "Fuzzy synthetic decision"

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Li, Lingling, Jungang Zhou, Zhigang Li, and Jingzheng Liu. "Computation of Uncertain Parameters by Using Fuzzy Synthetic Decision and D-S Theory." In Communications in Computer and Information Science, 276–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04962-0_32.

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Liu, Shuliang, and Pengliang Hao. "The Application BP Neural Network Improved and Fuzzy Quality Synthetic on Thermal Power Company Simulation Decision." In Proceedings of the 2012 International Conference on Cybernetics and Informatics, 2281–86. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3872-4_291.

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Dymowa, Ludmila. "The Synthesis of Fuzzy Logic and DST in Stock Trading Decision Support Systems." In Soft Computing in Economics and Finance, 207–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17719-4_6.

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Kondratenko, Yuriy P., Oleksiy V. Kozlov, and Oleksiy V. Korobko. "Two Modifications of the Automatic Rule Base Synthesis for Fuzzy Control and Decision Making Systems." In Communications in Computer and Information Science, 570–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91476-3_47.

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Xiao, Xiao-nan. "The Establishment and Reliability Analysis of the Majorized Model of a Kind of Fuzzy Multidimensional Synthetical Decision." In Quantitative Logic and Soft Computing 2010, 509–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15660-1_51.

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Conference papers on the topic "Fuzzy synthetic decision"

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Wang, Xin Li, and Li Ping Yan. "Fuzzy Quality Synthetic Evaluation on Project Investment Decision." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.102.

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Tsuen-Ho Hsu and Tzung-Hsin Yang. "A new fuzzy synthetic decision model to assist advertisers select magazine media." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793075.

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Dengfeng Chen, Qichun Ji, and Hongcai Zhang. "Fuzzy Synthetic Evaluation of Indoor Environmental Quality based on Changeable Weight." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597556.

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Sun, Shouqian, and Qun Wun. "Decision model for product design based on Fuzzy synthetic evaluation method." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384589.

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Guo, Rui, and Fangming Wu. "Conversion from natural language to synthetic language based on Fuzzy Matching Degree." In 2011 23rd Chinese Control and Decision Conference (CCDC). IEEE, 2011. http://dx.doi.org/10.1109/ccdc.2011.5968726.

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Chen Wei, Hao Xiaohong, and Lin he. "An improved fuzzy synthetic evaluation using expanded optimization algorithm for combining index weights." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597733.

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Zhou, Fei, De-long Jiang, and Ke-ke Zhang. "Research on performance effect of electrical enterprise executives based on fuzzy synthetic decision." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5921013.

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Krishnamachari, Ramprasad, Srinivas Vadde, Janet K. Allen, and Farrokh Mistree. "Simultaneous Kinematic and Dynamic Synthesis in the Preliminary Design of a Linkage." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0315.

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Abstract In the early stages of project initiation, all aspects of system design may not be clearly defined. Some information might be uncertain (imprecise or vague). However, important design decisions need to be made in these stages in the presence of uncertainty. Fuzzy sets offer a useful method to represent the imprecision in such situations. Fuzzy compromise Decision Support Problems (DSPs) involving fuzzy membership functions are found to be effective in modeling this uncertainty and making decisions in such situations. A hat-shaped, piecewise linear membership function is introduced which is especially useful when the design space is not well understood. The use of a fuzzy compromise Decision Support Problem in the preliminary design synthesis of mechanical systems is illustrated using a case study involving the synthesis of a four-bar linkage.
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Hsieh, Ching-Sen, Chih-Hung Wu, Tao Huang, and Yu-Wen Chen. "Analyzing the Characteristics of Fuzzy Synthetic Decision Methods on Evaluating Student's Academic Achievement An Empirical Investigation of Junior High School Students in Taiwan." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.467.

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Wan, Yi, Lei Xiao, and Chengwen Wu. "Fuzzy Synthesis-Decision Model of Software Optimum Design." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5303887.

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