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Dissertations / Theses on the topic 'Consistency in fuzzy decision problems'

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Published: 2 June 2025
Last updated: 31 July 2025

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1

Ribeiro, Maria Rita Sarmento de Almeida. "Application of support logic theory to fuzzy multiple attribute decision problems." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357891.

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2

Fowdar, Navindra Jay. "Inducing fuzzy decision trees to solve classification and regression problems in non-deterministic domains." Thesis, Manchester Metropolitan University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426942.

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Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human thinking and perception. This thesis describes the development of a novel tree induction algorithm which improves the classification accuracy of decision trees in non-deterministic domains. A novel algorithm, Fuzzy CIA, is presented which applies the principles of fuzzy theory to decision tree algorithms in order to soften the sharp decision boundaries which are inherent in these induction techniques. Fuzzy CIA extra
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3

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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4

Allard, David M. "A Multi-Objective Genetic Algorithm to Solve Single Machine Scheduling Problems Using a Fuzzy Fitness Function." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1180968613.

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5

Lopes, Mariana Vieira Ribeiro. "Tratamento de imprecisão na geração de árvores de decisão." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8954.

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Submitted by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:11Z No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:33Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:39Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Made available in DSpace
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6

Igoulalene, Idris. "Développement d'une approche floue multicritère d'aide à la coordination des décideurs pour la résolution des problèmes de sélection dans les chaines logistiques." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4357/document.

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Dans le cadre de cette thèse, notre objectif est de développer une approche multicritère d'aide à la coordination des décideurs pour la résolution des problèmes de sélection dans les chaines logistiques. En effet, nous considérons le cas où nous avons k décideurs/experts notés ST1,...,STk qui cherchent à classer un ensemble de m alternatives/choix notées A1,...,Am évaluées en termes de n critères conflictuels notés C1,..., Cn. L'ensemble des données manipulées est flou. Chaque décideur est amené à exprimer ses préférences pour chaque alternative par rapport à chaque critère à travers une matri
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7

Lin, Tsung-en, and 林琮恩. "New Group Decision Making Methods Based on Fuzzy Preference Relations and Consistency Matrices." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/37132638425036614088.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>101<br>Group decision making is an important research topic. In recent years, some group decision making methods based on fuzzy preference relations have been presented. Because there may be situations where some values in preference relations may be unknown or incomplete, some methods have been presented to estimate the unknown or incomplete values in incomplete fuzzy preference relations. In recent years, some group decision making methods based on incomplete fuzzy preference relations have been presented. In this thesis, we present two new methods for group decisi
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8

Chen, Chien-Ming, and 陳建銘. "A fuzzy-based decision support model to vendor selection problems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/79325223781820670564.

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碩士<br>國立中央大學<br>工業管理研究所<br>92<br>Vendor selection problems have long been a critical issue in achieving a successful supply chain management. Numerous methodologies have been proposed for efficient evaluation and selection of vendors. However, these methodologies fail to treat performances as a time-varying process. Moreover, the fuzziness of decision-making has not been considered in a comprehensive way. As such, the solutions provided likely are unreliable, and the possibilities for decision makers to learn over time will be eliminated. This article presents a fuzzy-based decision support mo
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9

Hsin-HungChen and 陳信宏. "Fuzzy goal programming approaches for solving hierarchical decision-making problems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/15814219834242891153.

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博士<br>國立成功大學<br>工業與資訊管理學系<br>103<br>This dissertation studies hierarchical optimization problems in a fuzzy environment. For two main decision structures of (decentralized) multi-level systems, we investigate decentralized bi-level multi-objective linear programming (DBL-MOLP) and multi-level linear programming (MLLP) problems with imprecise goals, and develop proper solution approaches based on fuzzy goal programming (FGP). For DBL-MOLP problems with multiple followers at the second level, decision decentralization is considered, and allowed to be adjusted depending upon the higher-level deci
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10

Yu-TingLiu and 劉宇婷. "Aggregating Experts’ Fuzzy Opinions for Hierarchical Group Decision-Making Problems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28372033188847940723.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>101<br>In the real world, decision makers are often faced with complicated decision problems where many attributes and alternatives are considered. An alternative with respect to an attribute can be assessed by crisp data, but decision making usually includes subjective opinions. Experts can use linguistic terms to express their real opinions, and these tend to be fuzzy rather than precise. As a result, various fuzzy multiple attribute decision making (FMADM) methods, which are suitable for group decision making (GDM) problems in a fuzzy environment, have been
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11

Wang, Chih-huang, and 王志煌. "New Methods for Handling Fuzzy Risk Analysis Problems and Prioritized Multicriteria Decision Making Problems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/97d57z.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>In this thesis, we present a new approach for fuzzy risk analysis based on the ranking of fuzzy numbers. First, we present a new method for ranking fuzzy numbers using the α-cuts, the belief features and the signal/noise ratios of fuzzy numbers. The proposed method can overcome the drawbacks of some existing methods for ranking fuzzy numbers. Then, we apply the proposed fuzzy ranking method to present a fuzzy risk analysis algorithm to deal with fuzzy risk analysis problems. The proposed fuzzy risk analysis algorithm can provide a useful way to deal with fuzzy
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12

Niou, Shun-Jhong, and 牛順忠. "Handling Fuzzy Multiple Attributes Group Decision-Making Problems Based on Fuzzy Preference Relations and FIOWA Operators." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/03007996995087827071.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>In recent years, many methods have been presented to deal with fuzzy multi-attributes group decision-making problems based on fuzzy sets. Because fuzzy sets can effectively describe imprecise knowledge or human subjective judgment by linguistic terms, it can be used to help decision-makers make decisions. In this thesis, we present two new methods for fuzzy multiple attributes group decision-making based on fuzzy preference relations and FIOWA operators, respectively. In the first method, we present a new method to hand fuzzy group decision-making based on fuz
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13

Appadoo, Srimantoorao Semischetty. "Operations research approach for certain financial decision making problems under fuzzy environment." 2002. http://hdl.handle.net/1993/19581.

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14

Chao-TingTsai and 蔡昭廷. "Solving Multi-level Single-objective Decision Making Problems using Fuzzy Goal Programming." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/06920940025188920803.

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碩士<br>國立成功大學<br>工業與資訊管理學系<br>103<br>Multi-level linear programming (MLLP) is an approach that can be used to solve decision problems based on hierarchical decision structures. Satisfactions that represent the judgement of solutions obtained for a decision-maker (DM) include uncertain information. Hence, the concept of fuzzy sets is used to define the satisfaction of the corresponding value by building membership functions. This study develops a method for interpreting the relationships of satisfaction between different levels by using satisfaction intervals. To overcome the shortcomings of met
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15

Lai, Po-Jen, and 賴博仁. "Design of Fuzzy Decision Adaptive Optimal Controller for Multi-objective Optimization Problems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/01432064738525405974.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>103<br>Multi-objective optimization concerns about optimization problems involving more than one objective function to be optimized simultaneously. Conventionally, multi-objective optimization problems are solved by the weighted-sum approach or the genetic algorithm. However, the weighted-sum approach is not able to deal with situations concerning different preference, and the genetic algorithm is hard to use in real-time optimization and control. This thesis proposes the fuzzy decision adaptive optimal control algorithm to solve the multi-objective optimization pro
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16

Fang-YiLin and 林芳儀. "Developing Fuzzy Goal Programming Approaches to solve Multi-level Decision Making Problems." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4ymye2.

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17

Yu-ChuanChing and 荊裕荃. "Applying Clustering Methods for Group Decision Making Problems in Intuitionistic Fuzzy Environments." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2evx75.

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18

Ming-HsuanWu and 吳明璇. "Developing Intuitionistic 2-Tuple Fuzzy Linguistic Representation Models for Group Decision-Making Problems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/30974453899275207084.

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碩士<br>國立成功大學<br>工業與資訊管理學系<br>104<br>The 2-tuple fuzzy linguistic representation models are considered to be a decision approach intended to calculate and aggregate linguistic evaluations without the loss of information. In current research, all linguistic terms are represented by triangular fuzzy numbers. However, if experts choose linguistic terms with different degrees of uncertainty, the triangular fuzzy numbers are not enough to represent the internally subjective evaluations of experts. As a result, this thesis uses the intuitionistic triangular fuzzy numbers to represent the linguistic t
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19

Chen, Kuan-Hung, and 陳冠宏. "Solving the multi-attribute group decision making problems based on fuzzy preference relations." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/18482349581656277599.

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碩士<br>國立成功大學<br>製造工程研究所碩博士班<br>96<br>People usually desired to make the decision which could be satisfied variety decision situations, and we will use our ability of perception to achieve the decision procedure. Those developments of the methodologies were still rising and flourishing. The applications of evaluating to several alternatives which conflict to each others was called by multi-attribute decision making (MADM) problems. The structures and ranking results of problems will be decided based on the theory of those methods, and its applications will concern about enormous resource and co
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20

Wei-MingHou and 侯瑋明. "Developing Intuitionistic Fuzzy Goal Programming Approaches to Solve Multi-level Decision-making Problems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tz5f74.

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21

Chen, Shi-Jay, and 陳士杰. "New Information Fusion and Information Aggregation Methods for Handling Multicriteria Fuzzy Decision-Making Problems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/17522712212544897498.

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博士<br>國立臺灣科技大學<br>資訊工程系<br>93<br>Fusion and aggregation of information are important topics in many researches, such as fuzzy logic systems, multi-attribute decision-making, group decision-making, and information retrieval,…, etc. In this dissertation, we firstly present a new similarity measure of generalized fuzzy numbers. First, we present a method called the Simple Center of Gravity Method (SCGM) to calculate the center-of-gravity (COG) points of generalized fuzzy numbers. Then, we use the SCGM to propose a new method to measure the degree of similarity between generalized fuzzy numbers. T
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22

Dat, Luu Quoc, and 劉國達. "Improved ranking approaches for fuzzy numbers and their applications to multi-criteria decision making problems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/35228640303833655310.

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博士<br>國立臺灣科技大學<br>工業管理系<br>101<br>Ranking fuzzy numbers plays an important role in decision analysis and applications. The last few decades have seen a large number of approaches investigated for ranking fuzzy numbers such as maximizing set and minimizing set concept, integral value, centroid point, distance approach, deviation degree, and magnitude concepts. Nevertheless, some of these approaches are non-intuitive and even inconsistent. Therefore, this study indicates the shortcomings of several existing ranking approaches and proposes improved ranking approaches for fuzzy numbers to overcome
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