Relevant bibliographies by topics / Fuzzy Multi-Attribute Decision Making

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fuzzy Multi-Attribute Decision Making'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Fuzzy Multi-Attribute Decision Making"

1

Xu, Zeshui, and Ronald R. Yager. "Dynamic intuitionistic fuzzy multi-attribute decision making." International Journal of Approximate Reasoning 48, no. 1 (2008): 246–62. http://dx.doi.org/10.1016/j.ijar.2007.08.008.

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Gong, Zengtai, and Junhu Wang. "Hesitant fuzzy graphs, hesitant fuzzy hypergraphs and fuzzy graph decisions1." Journal of Intelligent & Fuzzy Systems 40, no. 1 (2021): 865–75. http://dx.doi.org/10.3233/jifs-201016.

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Up to now, there have been a lot of research results about multi-attribute decision making problems by fuzzy graph theory. However, there are few investigations about multi-attribute decision making problems under the background of indecisiveness. The main reason is that the difference of cognition and the complexity of thinking by decision makers, for the same question have different opinions. In this paper, we proposed a hesitant fuzzy hypergraph model based on hesitant fuzzy sets and fuzzy hypergraphs. At the same time, some basic graph operations of hesitant fuzzy hypergraphs are investiga
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Gunaratne, M., J. L. Chameaut, and A. G. Altschaefflf. "Fuzzy multi-attribute decision making in pavement management." Civil Engineering Systems 2, no. 3 (1985): 166–70. http://dx.doi.org/10.1080/02630258508970400.

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Li, Guangxu, Gang Kou, Changsheng Lin, Liang Xu, and Yi Liao. "Multi-attribute decision making with generalized fuzzy numbers." Journal of the Operational Research Society 66, no. 11 (2015): 1793–803. http://dx.doi.org/10.1057/jors.2015.1.

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Gui, Mei, Xiaoyang Ding, and Cheng Yi Zhang. "Multi-Attribute Decision Making Method Based on Intuitionistic Fuzzy Grey Sets." Advanced Materials Research 557-559 (July 2012): 2070–74. http://dx.doi.org/10.4028/www.scientific.net/amr.557-559.2070.

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In this paper, it discussed the fuzzy multi-attribute decision making problems that are the attribute weights are known and the attribute values are intuitionistic fuzzy grey sets. Intuitionistic fuzzy grey set is given, and the positive and negative ideal points are introduced, then the definition of Hamming distance formula between the intuitionistic fuzzy grey numbers is discussed. Moreover, it puts forward multi-attribute decision making method based on intuitionistic fuzzy grey set, and discusses the steps of the method. Then, the examples are given to show that the method is reasonable a
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Li, D. F. "A fuzzy closeness approach to fuzzy multi-attribute decision making." Fuzzy Optimization and Decision Making 6, no. 3 (2007): 237–54. http://dx.doi.org/10.1007/s10700-007-9010-1.

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Sun, Peng, Jun Zhang, and Hongbin Zeng. "A Hesitant Fuzzy Multi-Attribute Group Decision Making Method Based on Prospect Theory." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (2018): 735–41. http://dx.doi.org/10.1051/jnwpu/20183640735.

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To solve a multi-attribute group decision-making problem, since its attribute weight is completely unknown, based on the prospect theory, a hesitant fuzzy multi-attribute group decision making method is proposed. According to the single-attribute-preference function provided by a decision maker, an improved entropy weight method is proposed to calculate the attribute weight. The hesitant fuzzy decision-making matrix is transformed into the prospect decision-making matrix which utilizes positive and negative ideal solutions as reference points. Then alternative schemes are ranked according to t
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Chuu *, S. J. "Fuzzy multi-attribute decision-making for evaluating manufacturing flexibility." Production Planning & Control 16, no. 3 (2005): 323–35. http://dx.doi.org/10.1080/09537280500063236.

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Gu, Xiangbai, and Qunxiong Zhu. "Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space." Decision Support Systems 41, no. 2 (2006): 400–410. http://dx.doi.org/10.1016/j.dss.2004.08.001.

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SU, ZHI-XIN. "A HYBRID FUZZY APPROACH TO FUZZY MULTI-ATTRIBUTE GROUP DECISION-MAKING." International Journal of Information Technology & Decision Making 10, no. 04 (2011): 695–711. http://dx.doi.org/10.1142/s021962201100452x.

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The paper investigates fuzzy multi-attribute group decision-making (FMAGDM) problems. The important weights of the attributes and the ratings of the alternatives with respect to each attribute provided by multiple decision-makers are described by the linguistic variables expressed in triangular fuzzy numbers or trapezoidal fuzzy numbers. A hybrid fuzzy approach is proposed, which assesses each alternative in terms of distance measure calculated by a modified VIKOR method as well as similarity measure calculated by a modified gray relational analysis (GRA) method, to the positive ideal alternat
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Dissertations / Theses on the topic "Fuzzy Multi-Attribute Decision Making"

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Kaleem, Faisal. "VHITS: Vertical Handoff Initiation and Target Selection in a Heterogeneous Wireless Network." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/602.

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Global connectivity, for anyone, at anyplace, at anytime, to provide high-speed, high-quality, and reliable communication channels for mobile devices, is now becoming a reality. The credit mainly goes to the recent technological advances in wireless communications comprised of a wide range of technologies, services, and applications to fulfill the particular needs of end-users in different deployment scenarios (Wi-Fi, WiMAX, and 3G/4G cellular systems). In such a heterogeneous wireless environment, one of the key ingredients to provide efficient ubiquitous computing with guaranteed quality and
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Naim, Nur Syibrah Muhamad. "A type-2 fuzzy logic approach for multi-criteria group decision making." Thesis, University of Essex, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635990.

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Multi-Criteria Group Decision Making (MCGDM) is a decision tool which is able to find a unique agreement from a group of decision makers (DMs) by evaluating various conflicting criteria. However, the current multi-criteria decision making with a group of DMs (MCGDM) techniques do not effectively deal with the large number of possibilities that cause disagreement between different judgements and the variety of ideas and opinions among the decision makers which lead to high_uncertainty levels. There is a growing interest to investigate techniques to handle the faced uncertainties in many decisio
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Ku, Khalif Ku Muhammad Naim. "Generalised hybrid fuzzy multi criteria decision making based on intuitive multiple centroid defuzzification." Thesis, University of Portsmouth, 2016. https://researchportal.port.ac.uk/portal/en/theses/generalised-hybrid-fuzzy-multi-criteria-decision-making-based-on-intuitive-multiple-centroid-defuzzification(84549646-118e-45d7-9868-29019128b482).html.

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The concept of fuzzy multi criteria decision making process has received significant attention from research community due to its successful applications for human based decision making problems under fuzzy environment. It complements the decision makers to evaluate their subjective judgements under situations that are vague, imprecise, random and uncertain in nature. Inspired by such real applications, in this research study, the theoretical foundation of a hybrid fuzzy multi criteria decision making model based on new centroid defuzzification method is proposed. The proposed model tackles so
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Soo, Houng Y. "Towards the Development of a Decision Support System for Emergency Vehicle Preemption and Transit Signal Priority Investment Planning." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27204.

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Advances in microprocessor and communications technologies are making it possible to deploy advanced traffic signal controllers capable of integrating emergency vehicle preemption and transit priority operations. However, investment planning for such an integrated system is not a trivial task. Investment planning for such a system requires a holistic approach that considers institutional, technical and financial issues from a systems perspective. Two distinct service providers, fire and rescue providers and transit operators, with separate operational functions, objectives, resources and con
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Yaakob, Abdul Malek Bin. "Multi criteria decision making methodology for fuzzy rule based systems and networks using TOPSIS." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/multi-criteria-decision-making-methodology-for-fuzzy-rule-based-systems-and-networks-using-topsis(8efb475a-4f98-4d5c-846d-f01b01328dda).html.

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Fuzzy systems and networks are vital within the armoury of fuzzy tools and applicable to real life decision making environments. Three types of fuzzy systems introduced in literatures which are systems with single rule base, systems with multiple rule bases and system with networked rule bases. This research introduces novel extension of the Technique of Ordering of Preference by Similarity to Ideal Solution (TOPSIS) methods and uses fuzzy systems and networks to solve multi-criteria decision making problems where both benefit and cost are presented as subsystems. In conjunction, the implement
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Madi, Elissa Nadia. "An improved uncertainty in multi-criteria decision making model based on type-2 fuzzy TOPSIS." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/55394/.

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This thesis presents a detailed study about one of the Multiple Criteria Decision Making (MCDM) models, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), based on fuzzy set theory (FST) by focusing on improving modelling uncertain information provided by a group of decision makers (DMs). An exploration of issues and limitations in current models of standard TOPSIS and fuzzy TOPSIS were made. Despite many variations of type-1 fuzzy TOPSIS (T1-TOPSIS) model, none of the studies explaining the details of the key stages of standard TOPSIS (non-fuzzy) and T1-TOPSIS are
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Tahvili, Sahar. "Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making." Thesis, SICS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24416.

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Dukyil, Abdulsalam Saleh. "Artificial intelligence and multiple criteria decision making approach for a cost-effective RFID-enabled tracking management system." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17128.

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The implementation of RFID technology has been subject to ever-increasing popularity in relation to the traceability of items as one of the most advance technologies. Implementing such a technology leads to an increase in the visibility management of products. Notwithstanding this, RFID communication performance is potentially greatly affected by interference between the RFID devices. It is also subject to auxiliary costs in investment that should be considered. Hence, seeking a cost-effective design with a desired communication performance for RFID-enabled systems has become a key factor in o
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Hu, Yi-Chung, and 胡宜中. "Multi-Attribute Decision Making Using Fuzzy Knowledge Discovery." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/94188804622234490269.

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博士<br>國立交通大學<br>資訊管理所<br>91<br>Most organizations have large databases that contain a wealth of potentially accessible information. Through data mining techniques, many interesting patterns or useful rules hidden in data will be discovered. On the other hand, soft computing techniques have expanded enormously over the past few years. Fuzzy sets are one critical component of soft computing, and are further used to generate fuzzy knowledge representations in this dissertation. The reason is that we consider that fuzzy knowledge representations described by the natural language are well suited fo
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張弘紋. "The Construction of Fuzzy Multi-Attribute Group Decision-Making Method." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/51267572187654160991.

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Books on the topic "Fuzzy Multi-Attribute Decision Making"

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Chen, Shu-Jen, and Ching-Lai Hwang. Fuzzy Multiple Attribute Decision Making. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46768-4.

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Hao, Zhinan, Zeshui Xu, and Hua Zhao. Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3891-9.

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Kahraman, Cengiz, ed. Fuzzy Multi-Criteria Decision Making. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76813-7.

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1929-, Hwang C. L., and Hwang Frank P, eds. Fuzzy multiple attribute decision making: Methods and applications. Springer-Verlag, 1992.

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Jih-Jeng, Huang, ed. Multiple attribute decision making: Methods and appliations. CRC Press, 2011.

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Lee, E. Stanley, and Hsu-shih Shih. Fuzzy and Multi-Level Decision Making. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0683-8.

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Julien, Benoît. A fuzzy interactive screening model for multiple attribute decision-making. National Library of Canada, 1990.

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Kahraman, Cengiz, and İrem Otay, eds. Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00045-5.

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Rao, R. Venkata. Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4375-8.

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Cheng, Chi-Bin, Hsu-Shih Shih, and E. Stanley Lee. Fuzzy and Multi-Level Decision Making: Soft Computing Approaches. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92525-7.

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Book chapters on the topic "Fuzzy Multi-Attribute Decision Making"

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Xu, Zeshui, and Xiaoqiang Cai. "Dynamic Intuitionistic Fuzzy Multi-Attribute Decision Making." In Intuitionistic Fuzzy Information Aggregation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29584-3_6.

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Basiura, Beata, Jerzy Duda, Bartłomiej Gaweł, et al. "Multi-attribute Decision Making Process and Its Application." In Advances in Fuzzy Decision Making. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26494-3_4.

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Xu, Zeshui. "Interactive Intuitionistic Fuzzy Multi-Attribute Decision Making." In Intuitionistic Preference Modeling and Interactive Decision Making. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28403-8_2.

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Lee, E. Stanley, and Hsu-shih Shih. "Fuzzy Decision Making." In Fuzzy and Multi-Level Decision Making. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0683-8_5.

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Ohlan, Anshu, and Ramphul Ohlan. "Intuitionistic Fuzzy Exponential Divergence and Multi-attribute Decision-Making." In Generalizations of Fuzzy Information Measures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45928-8_7.

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Hauke, Wolfgang. "Fuzzy Multiple Attribute Decision Making (Fuzzy-MADM)." In Fuzzy-Modelle in der Unternehmensplanung. Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-642-58992-8_7.

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Xu, Zeshui, and Xiaoqiang Cai. "Projection Model-Based Approaches to Intuitionistic Fuzzy Multi-Attribute Decision Making." In Intuitionistic Fuzzy Information Aggregation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29584-3_5.

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Chen, Shu-Jen, and Ching-Lai Hwang. "Fuzzy Multiple Attribute Decision Making Methods." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46768-4_5.

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Zhang, Guangquan, Jie Lu, and Ya Gao. "Fuzzy Bi-level Decision Making." In Multi-Level Decision Making. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46059-7_7.

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Thakkar, Jitesh J. "Fuzzy Integral and Grey Relation." In Multi-Criteria Decision Making. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_10.

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Conference papers on the topic "Fuzzy Multi-Attribute Decision Making"

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Wang, Min. "Fuzzy Random Multi-attribute Decision Making Method." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.123.

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Shivakumar, Uppala, Vadlamani Ravi, and G. R. Gangadharan. "Ranking cloud services using fuzzy multi-attribute decision making." In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622319.

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Nagata, Kiyoshi, Michio Amagasa, and Hiroo Hirose. "Multi-attribute decision making based on fuzzy outranking." In 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2012. http://dx.doi.org/10.1109/cinti.2012.6496754.

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Wang, Min. "Fuzzy Multi-attribute Decision Making Under Interval Number." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.331.

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Wang, Cheng, Huanbin Liu, and Ping Li. "Novel Method of Hybrid Multi-Attribute Decision Making." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.358.

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Qiu, Yuming, Ping Ge, and Joseph F. Junker. "Varying Weights in Multi-Attribute Decision Making." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49350.

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Extreme cases that contain either extremely high or pretty low preference attribute(s) are investigated for multi-attribute decision making problems. Normal cases occur most of the time, and many existing methods have been developed to support the decision making in such scenarios. Extreme cases are possible in real applications, and they are usually present intriguing scenarios because of the potential fuzzy and varying decision criteria. To capture this phenomenon, varying weights are introduced to simulate the change pattern concerning relative importance of attributes, and a uniform framew
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Lawry, Jonathan, and Hongmei He. "Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295602.

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Wang, Weize, and Xinwang Liu. "Multi-attribute decision making models under interval type-2 fuzzy environment." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007366.

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Tarmudi, Zamali, and Mohd Lazim Abdullah. "Linguistic aggregation method for fuzzy multi-attribute decision-making." In 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY). IEEE, 2013. http://dx.doi.org/10.1109/ifuzzy.2013.6825460.

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Li, Junhong, Jian Li, Chao You, and Mingjuan Dong. "Multi-attribute decision making method with intuitionistic fuzzy sets." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6234072.

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Reports on the topic "Fuzzy Multi-Attribute Decision Making"

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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The pur
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Sperry, Richard. Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1821.

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Fowke, Robert. Performance Measures for Managerial Decision Making: Performance Measurement Synergies in Multi-Attribute Performance Measurement Systems. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.164.

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