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1

GANDOLPHO, ANDRE ALVES. "METHODOLOGY FOR SOLVING FUZZY LINEAR PROGRAMMING PROBLEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8070@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta tese propõe uma metodologia para obter uma solução para problemas de programação linear fuzzy. A metodologia aqui descrita apresenta um conjunto de soluções em que tanto os valores das variáveis quanto o valor ótimo para a função de custo, ou função objetivo, possuem uma faixa de valores possíveis. Assim, é possível fornecer um conjunto de soluções factíveis que atendam a diferentes cenários, além de fornecer ao tomador de decisões uma ferramenta de análise mais útil, permitindo que sejam analisadas outras soluções p
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Mehmood, Rashid. "Fuzzy linear programming problems solved with Fuzzy decisive set method." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1201.

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In the thesis, there are two kinds of fuzzy linear programming problems, one of them is a linear programming problem with fuzzy technological coefficients and the second is linear programming problem in which both the right-hand side and the technological coefficients are fuzzy numbers. I solve the fuzzy linear programming problems with fuzzy decisive set method.
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Remias, Michael George. "Computational studies of some fuzzy mathematical problems." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1147.

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In modelling and optimizing real world systems and processes, one usually ends up with a linear or nonlinear programming problem, namely maximizing one or more objective functions subject to a set of constraint equations or inequalities. For many cases, the constraints do not need to be satisfied exactly, and the coefficients involved in the model are imprecise in nature and have to be described by fuzzy numbers to reflect the real world nature. The resulting mathematical programming problem is referred to as a fuzzy mathematical programming problem.Over the past decades, a great deal of work
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IUNG, ANDERSON MITTERHOFER. "APPLICATION OF FUZZY LINEAR PROGRAMMING TO THE PROBLEM OF PLANNING UNDER UNCERTAINTY THE EXPANSIUM OF THE TRANSMITION SYSTEM." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2000. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7459@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CENTRO DE PESQUISA DE ENERGIA ELÉTRICA<br>Esta dissertação apresenta um aplicação de programação linear fuzzy para o problema de planejamento da expansão de redes de transmissão de potência sob considerações de incertezas. A partir da modelagem dos conceitos vagos e imprecisos, inerentes ao problema de planejamento, com a utilização da teoria da lógica fuzzy é possível incorporar as incertezas dentro do modelo do problema. Os conceitos de programação linear fuzzy são utilizados para transformar tanto a função objetivo como
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Amaral, Wanessa Machado do. "Teoria de jogos nebulosos na resolução de problemas de decisão e conflito de interesses." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259057.

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Orientador: Fernando Antonio Campos Gomide<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-08T23:48:55Z (GMT). No. of bitstreams: 1 Amaral_WanessaMachadodo_M.pdf: 2424347 bytes, checksum: 390879b70ad2ca4dc593f415471fea5c (MD5) Previous issue date: 2007<br>Resumo: A teoria de jogos é um ramo da teoria da decisão que modela e trata matematicamente situações de conflito de interesses entre entidades, onde o objetivo principal é escolher a melhor estratégia para cada uma delas, ou seja, aquela
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Silva, Neto Gustavo Cunha da. "Um método para solução de problemas de otimização multiobjetivo em ambiente fuzzy." Universidade Federal do Amazonas, 2011. http://tede.ufam.edu.br/handle/tede/3689.

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Made available in DSpace on 2015-04-22T22:16:14Z (GMT). No. of bitstreams: 1 Gustavo Cunha.pdf: 1000425 bytes, checksum: fc84dd761ea9f58fc46869f1324d8e1d (MD5) Previous issue date: 2011-09-02<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>This paper presents a model for solving multiobjective linear programming problems based on the calculation of the minimum fuzzy distance. The theoretical principles outline some elements of the fuzzy logic as well as crisp multiobjective optimization elements needed for the formulation of the model. Moreover, some classical mu
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Ciappina, Jussara Rodrigues. "Decomposição de Dantzig-Wolfe e heurística aplicados a problemas de fluxo multiproduto Fuzzy." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260597.

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Orientadores: Akebo Yamakami, Ricardo Coelho Silva<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-19T06:43:21Z (GMT). No. of bitstreams: 1 Ciappina_JussaraRodrigues_D.pdf: 6752680 bytes, checksum: 3dcb7910cc5098e44936e76045792069 (MD5) Previous issue date: 2011<br>Resumo: Este trabalho apresenta dois métodos baseados no método clássico de decomposição de Dantzig-Wolfe e um método heurístico, os quais resolvem problemas com incertezas nos parâmetros utilizando a teoria dos conjuntos fuzzy. O prim
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Kaseke, Evans. "Fuzzy linear programming and reservoir management." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26708.

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The presence of imprecision in parameter specification of water resources management problems leads to the formulation of fuzzy programming models. This thesis presents the formulation of a two-reservoir system problem as a fuzzy L.P. model. The aim is to determine if larger monetary benefits, over and above the usual benefits, can be obtained from the system. The other aim is to determine if desired industrial and domestic water allocations, as well as outflows for selected periods can be achieved. The problem is formulated as a conventional L.P. model. Then selected water allocations and
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Sharma, Vivek Narain. "Linear programming and quadratic programming approach for graduation in fuzzy environment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57577.pdf.

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Espinoza, Daniel G. "On Linear Programming, Integer Programming and Cutting Planes." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10482.

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In this thesis we address three related topic in the field of Operations Research. Firstly we discuss the problems and limitation of most common solvers for linear programming, precision. We then present a solver that generate rational optimal solutions to linear programming problems by solving a succession of (increasingly more precise) floating point approximations of the original rational problem until the rational optimality conditions are achieved. This method is shown to be (on average) only 20% slower than the common pure floating point approach, while returning true optimal solutions
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Cregger, Michael L. "The general mixed-integer linear programming problem an empirical analysis /." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1993. http://www.kutztown.edu/library/services/remote_access.asp.

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Hocking, Peter M. "Solving the binary integer bi-level linear programming problem /." Electronic version (PDF), 2004. http://dl.uncw.edu/etd/2004/hockingp/peterhocking.pdf.

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Tinti, Laura. "Mixed Integer Linear Programming Models for a Stowage Planning Problem." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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The aim of this thesis is to deepen the Containership Stowage Planning Problem (CSPP). In general terms, this problem consists of finding optimal plans for stowing containers into a containership, satisfying several restrictions. This topic has a lot of variations regarding the objective functions and the constraints required, depending on the situation taken into account. This dissertation is developed by referring to a real case, with its specific objective function and restrictions. In the first part of this thesis, an overview on the different approaches given by the literature is provided
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DASTMARD, SOHOF. "The Asymmetric Travelling Salesman Problem : A Linear Programming Solution Approach." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157412.

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The travelling salesman problem is a well known optimization problem. The goal is to nd theshortest tour that visits each city in a given list exactly once. Despite the simple problem statementit belongs to the class of NP-complete problems. Its importance arises from a plethora of applicationsas well as a theoretical appeal. The asymmetric TSP is not as well researched as the symmetric TSP,in this paper we focus on a solution approach suitable for the asymmetric case. We demonstrate howa linear programming formulation can be used to solve the problem. We also show the limitationsof this solut
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Sariklis, Dimitrios. "Open Vehicle Routing Problem : description, formulations and heuristic methods." Thesis, London School of Economics and Political Science (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265252.

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Tanksley, Latriece Y. "Interior point methods and kernel functions of a linear programming problem." Click here to access thesis, 2009. http://www.georgiasouthern.edu/etd/archive/spring2009/latriece_y_tanksley/tanksley_latriece_y_200901_ms.pdf.

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Thesis (M.S.)--Georgia Southern University, 2009.<br>"A thesis submitted to the Graduate Faculty of Georgia Southern University in partial fulfillment of the requirements for the degree Master of Science." Directed by Goran Lesaja. ETD. Includes bibliographical references (p. 76) and appendices.
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Silva, Ricardo Coelho. "Contribuições ao estudo de programação não-linear com incertezas." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261703.

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Orientadores: Akebo Yamakami, Luiza Amalia Pinto Cantão<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-05T00:06:55Z (GMT). No. of bitstreams: 1 Silva_RicardoCoelho_M.pdf: 524540 bytes, checksum: f7f63ffea96b8bbf8897b3c3f27fc427 (MD5) Previous issue date: 2005<br>Resumo: Neste trabalho foram desenvolvidos alguns métodos iterativos e algoritmos meta-heurísticos, adaptados de modelos clássicos, que solucionam problemas de programação não-linear com parâmetros fuzzy na função objetivo e no con
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Bieleveld, Michel Jan Marinus. "Improving species distribution model quality with a parallel linear genetic programming-fuzzy algorithm." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-26012017-113329/.

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Biodiversity, the variety of life on the planet, is declining due to climate change, population and species interactions and as the result f demographic and landscape dynamics. Integrated model-based assessments play a key role in understanding and exploring these complex dynamics and have proven use in conservation planning. Model-based assessments using Species Distribution Models constitute an efficient means of translating limited point data to distribution probability maps for current and future scenarios in support of conservation decision making. The aims of this doctoral study were to
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Islam, Mohammad Tauhidul, and University of Lethbridge Faculty of Arts and Science. "Approximation algorithms for minimum knapsack problem." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2009, 2009. http://hdl.handle.net/10133/1304.

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Knapsack problem has been widely studied in computer science for years. There exist several variants of the problem, with zero-one maximum knapsack in one dimension being the simplest one. In this thesis we study several existing approximation algorithms for the minimization version of the problem and propose a scaling based fully polynomial time approximation scheme for the minimum knapsack problem. We compare the performance of this algorithm with existing algorithms. Our experiments show that, the proposed algorithm runs fast and has a good performance ratio in practice. We also condu
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Adams, Warren Philip. "The mixed-integer bilinear programming problem with extensions to zero-one quadratic programs." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74711.

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This research effort is concerned with a class of mathematical programming problems referred to as Mixed-Integer Bilinear Programming Problems. This class of problems, which arises in production, location-allocation, and distribution-application contexts, may be considered as a discrete version of the well-known Bilinear Programming Problem in that one set of decision variables is restricted to be binary valued. The structure of this problem is studied, and special cases wherein it is readily solvable are identified. For the more general case, a new linearization technique is introduced and de
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de, Farias Ismael Jr. "A polyhedral approach to combinatorial complementarity programming problems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/25574.

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Spence, William G. "An Optimization Approach To Employee Scheduling Using Fuzzy Logic." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/618.

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An Optimization Approach to Employee Scheduling Using Fuzzy Logic William G. Spence Selection of sales employees is critical because the sales employees represent the company’s image, competitive advantage, technology, and values. In many service systems the majority of consumer contact is with the sales department. Since there are different types of customers, scheduling quality salespersons who can adequately help consumers may affect revenue. This thesis proposes a new methodology for the scheduling of employees in a service system. The methodology uses Fuzzy Logic to calculate possible
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Likeman, Martin. "A study of centralised and distributed problem solving applied to water supply scheduling." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241628.

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Grover, Samir. "Solving layout compaction and wire-balancing problem using linear programming on the Monsoon multiprocessor." Thesis, Connect to online version, 1995. http://0-wwwlib.umi.com.mercury.concordia.ca/cr/concordia/fullcit?pMQ90885.

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Tang, Yuehao. "A mixed integer-linear programming model for solving the hydroelectric unit maintenance scheduling problem." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31269.

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The unit maintenance scheduling problem is traditionally a challenging topic for electric utilities. In general, the system operators schedule the generating units for maintenance periodically. Research on the maintenance scheduling problem started in 1960's in the last century and has continued until today. Although significant contributions were made as a results of this continuous investigations, but many of those approaches were made in specific areas as different systems have their own special characteristics, such as system reliability considerations. According to the literature ci
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李沛雄 and Pui-hung Johnelly Lee. "A manufacturing strategy: fuzzy multigoal mathematical programming to the Stanely cordless power tools." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31265728.

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Bucco, Guilherme Brandelli. "Construção de um modelo de programação linear para o University Timetabling Problem." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/101491.

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A construção de grades horárias dos cursos de uma universidade é um problema que deve ser enfrentado no início de todos os semestres e, por mobilizar quantidades significativas de recursos, se constitui numa das mais importantes tarefas administrativas de uma universidade. Trata-se de um problema clássico, combinatório, que tem atraído atenção por conta da dificuldade de se encontrar boas soluções. É classificado, em termos de complexidade computacional, como NP-hard, o que implica grande exigência de capacidade de processamento. É modelado de maneiras muito diversas, no intuito de se obter ad
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Ng, Yik Lun. "Discriminative training of stream weights in a multi-stream HMM as a linear programming problem /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20NG.

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Silva, João Angelo Bosco da. "Despacho economico e ambiental nebuloso em sistemas de energia eletrica." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/262046.

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Orientador: Carlos Alberto Favarin Murari<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-09T03:01:58Z (GMT). No. of bitstreams: 1 Silva_JoaoAngeloBoscoda_M.pdf: 958285 bytes, checksum: 44930f0b897c664249dfdc6fef42349a (MD5) Previous issue date: 2007<br>Resumo: As decisões na operação de sistemas de potência estão associadas com diferentes aspectos, não somente técnicos (segurança, confiabilidade, etc.) senão também econômicos (custos de produção, venda de energia, etc.). Estes objetivos es
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Hamilton, Daniel. "Decomposition and diet problems." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/3798.

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The purpose of this thesis is to efficiently solve real life problems. We study LPs. We study an NLP and an MINLP based on what is known as the generalised pooling problem (GPP), and we study an MIP that we call the cattle mating problem. These problems are often very large or otherwise difficult to solve by direct methods, and are best solved by decomposition methods. During the thesis we introduce algorithms that exploit the structure of the problems to decompose them. We are able to solve row-linked, column-linked and general LPs efficiently by modifying the tableau simplex method, and sugg
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Snellings, Christopher. "Effective Network Partitioning to Find MIP Solutions to the Train Dispatching Problem." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3285.

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Each year the Railway Applications Section (RAS) of the Institution for Operations Research and the Management Sciences (INFORMS) posits a research problem to the world in the form of a competition. For 2012, the contest involved solving the Train Dispatching Problem (TDP) on a realistic 85 edge network for three different sets of input data. This work is an independent attempt to match or improve upon the results of the top three finishers in the contest using mixed integer programming (MIP) techniques while minimizing the use of heuristics. The primary focus is to partition the network i
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Umetani, Shunji, Mutsunori Yagiura, and 睦憲 柳浦. "RELAXATION HEURISTICS FOR THE SET COVERING PROBLEM." 日本オペレーションズ・リサーチ学会, 2007. http://hdl.handle.net/2237/11724.

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Hung, Wan-Ping, and 洪宛頻. "Linear Programming Problem with Fuzzy Constraints." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/70715723972398908209.

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碩士<br>義守大學<br>工業管理學系<br>89<br>Over the past years the field of fuzzy linear programming has experienced a great deal of growth. In contrast to classical linear programming problems, fuzzy linear programming problems do not have one unique model. Many variations are possible depending on the assumptions or features of the real situation to be modeled. Various models and approaches have been devised in the literature to deal with the diversity in fuzzy linear programming problems. Recently, Delgado, Verdegay and Vila studied a “general model” for fuzzy linear programming problem which involves f
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Kau, Chin-Fong, and 高群峰. "Weighted Fuzzy Linear Programming in Multiobjectives Transportation Problem." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/83206871394061981451.

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LIN, Jiun-hung, and 林俊宏. "A large scale distribution problem solved by using Fuzzy Linear Programming." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/55595346201709485655.

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碩士<br>國立臺灣科技大學<br>管理研究所工業管理學程<br>87<br>This thesis proposes a three steps algorithm to solve the large scale distribution problem. Fuzzy clustering method is used in the first step to classify the demand points. At this step, we decompose the problem so that the computing time can be reduced. In the second and the third step, fuzzy linear programming is used to deal with the situation when the demand for customer is greater than the supply.
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Huang, Guan-Lin, and 黃冠霖. "Forest Biomass-to-biofuel Facility Location Problem Using Fuzzy Multi-objective Linear Programming." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bt3cv2.

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碩士<br>國立交通大學<br>工業工程與管理系所<br>105<br>Most of the energy on Earth will be exhausted. As the fossil fuel being used up and the rising price of oil, seeking for renewable energy has become the goal .Recent years, using biomass energy instead of fossil fuel is getting more attention. Biomass energy is advantages of large output, renewable and clean combustion. However, the previous researches mostly focus on cost and pollution, the social aspect is rarely considered. Most of the studies were presented with a single objective (cost) and the rest of the objective by the penalty value as the cost, so
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Chiu, Sheng-Feng, and 邱聖峰. "Using Evolutionary Computation to Solve Fuzzy Linear Programming Problems." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/70045559744025111314.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>91<br>Over the past decades the field of fuzzy linear programming has experienced a great deal of growth. In contrast to classical linear programming problems, fuzzy linear programming problems do not have one unique model. Many variations are possible depending on the assumptions or features of the real situation to be modeled. Various models and approaches have been devised to deal with the diversity in fuzzy linear programming problems. This work aims to investigate the fuzzy linear programming problems with coefficients taken as triangular fuzzy numbe
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Chen, Chan Hui, and 詹蕙珍. "The Resource-Constrained Multiple-Project Scheduling Problem with Multiple Fuzzy Objectives Non-linear Programming." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09011704259285909618.

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碩士<br>國立屏東科技大學<br>工業管理系<br>92<br>The purpose of this study is to develop a multiple fuzzy objective non-linear programming (MFONLP) model for solving the resource-constrained multi-project scheduling problem (RCMPSP). Two novel goals, maximization of total project net present value and the minimization of the total project duration, are involved in the RCMPSP model. Factors considered in the proposed model are the number of projects, the quantity of renewable-resources available, the quantity of capital available, multiple objective functions, the project delay penalty and the project early co
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Chen, Cheng-wei, and 陳正偉. "Solving Fuzzy Multiobjective Linear Programming Problems Based on Evolutionary Computation." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/11019920232259671484.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>91<br>Evolutionary computation has been proposed to solve optimization problems for around 40 years. Many new algorithms have been introduced and many new operators including crossover, mutation, or selection operators have been also developed. Initially, they were developed for some specific problems. Nobody knows whether they still have perfect efficiency for other problems. Based on this reason, we invoke five different evolutionary algorithms that were proposed by some researchers to solve the fuzzy multiobjective linear programming problems. We plan to investig
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Chen, Hsin-Ting, and 陳信廷. "A Fuzzy Multi-Objective Linear Programming Approach for the Vehicle Dispatch Problem of Cement Silos." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/29939359253268683947.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>100<br>This paper proposes a fuzzy multi-objective linear programming (FMOLP) model and the weighted additive model for solving the vehicle dispatch problem of cement silos in a fuzzy environment. This model was applied to solve multi-source, multi-product, multi-vehicle, and multi-RMC plant vehicle dispatch problems with imprecise goals, input data, and parameters, by considering fixed cost of trucks, transportation costs, loading capacity of trucks, operation time of cement silos, and maximal transportation distance. This study used a real cement case study to dem
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Yan-Kuen, Wu. "Two-phase Approach for Solving the Fuzzy Multiple Objective Linear Programming Problems." 1996. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611361850.

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Wu, Yan-Kuen, and 吳炎崑. "Two-phase Approach for Solving the Fuzzy Multiple Objective Linear Programming Problems." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/42285917323251167317.

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博士<br>元智工學院<br>工業工程學系研究所<br>85<br>Two-phase approach with equal weighted coefficients has been proposed to yield an efficient solution for the multiple objective linear programming problems [MOLP]. In this thesis, we shall show that the two-phase approach, as long as the weighted coefficients are positive, not necessarily equal, will generate an efficient solution. Besides, we shall illustrate an equivalent form of the two-phase approach but with less number of decision variables and constrain
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YU, CHIEN-HWA, and 游建華. "Weighted Fuzzy Linear Programming II (WFLP II) in Multiobjectives Transportation Problem-An Inciner ator Empirical Study in Shinchu." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/03017701493410019469.

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Adeyefa, Segun Adeyemi. "Satisticing solutions for multiobjective stochastic linear programming problems." Thesis, 2011. http://hdl.handle.net/10500/5703.

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Multiobjective Stochastic Linear Programming is a relevant topic. As a matter of fact, many real life problems ranging from portfolio selection to water resource management may be cast into this framework. There are severe limitations in objectivity in this field due to the simultaneous presence of randomness and conflicting goals. In such a turbulent environment, the mainstay of rational choice does not hold and it is virtually impossible to provide a truly scientific foundation for an optimal decision. In this thesis, we resort to the bounded rationality and chance-constrained princip
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Adeyefa, Segun Adeyemi. "Satisficing solutions for multiobjective stochastic linear programming problems." Thesis, 2011. http://hdl.handle.net/10500/5703.

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Multiobjective Stochastic Linear Programming is a relevant topic. As a matter of fact, many real life problems ranging from portfolio selection to water resource management may be cast into this framework. There are severe limitations in objectivity in this field due to the simultaneous presence of randomness and conflicting goals. In such a turbulent environment, the mainstay of rational choice does not hold and it is virtually impossible to provide a truly scientific foundation for an optimal decision. In this thesis, we resort to the bounded rationality and chance-constrained princip
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46

Yu, Chun-Lung, and 余俊龍. "A Fuzzy Multi-Objective Linear Programming Approach for the Vehicle Dispatch Problem of Cryogenic Liquid Gas Semi-Trailers under Uncertain Demand." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/72777492353329127253.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>103<br>This paper proposes a fuzzy multi-objective linear programming (FMOLP) model for solving the vehicle dispatch problem of cryogenic liquid gas semi-trailers in a fuzzy environment. The aim is to determine the optimal daily vehicle dispatching schedule in order to maximize total operating profits and minimize the total number of vehicles dispatches. By considering multiple sources, multiple products, multiple vehicles and multiple clients’ uncertain demands, compliance can be achieved to satisfy clients’ operating conditions. This study uses a simulation case s
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Chen, Chien-Chu, and 陳建助. "Application of Fuzzy Multi-Objective Linear Programming on the Robust Resource-Constrained Multi-Project Scheduling Problems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/76354092911141579847.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>97<br>The purpose of this study is to formulate a fuzzy multiobjective non-linear programming (FMONLP) model to solve the robust resource-constrained multi-project scheduling problems (RRCMPSP). Project slack time and maximization robustness are considered as factors in terms of project resources and capital limitation in the proposed model. An optimal satisfactory level is deployed to demonstrate the trade-offs among fuzzy multi-objectives for the use of project managers. The implementation is designed as several aspects to demonstrate the parameter variations of F
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Yu, Ju-mei, and 余如梅. "Application of Multi-Objective Linear Programming in Investment Portfolio and Capital Rationing Problems with Fuzzy Projects." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/68302904072944887966.

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碩士<br>國立臺北科技大學<br>生產系統工程與管理研究所<br>90<br>Capital budgeting is the problem of how to choose investment projects, under the limited resource which results in the maximum enterprise benefit. Conventional capital budgeting using linear programming techniques deals with deterministic models in which all the investment proposals are modeled as exact numbers. However, in practice, future investment projects involve much imprecise information. The probabilistic view of capital budgeting may not offer practical solution to many real world capital budgeting problems under uncertainty. In this situation,
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Yang, Shang-Hang, and 楊尚航. "Application of Signed Distance Method to Integrated Linear Programming for Fuzzy Multi-Objective Project Management Problems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/updu9q.

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碩士<br>國立臺北科技大學<br>工業工程與管理研究所<br>97<br>In real-life project management (PM) situations, the project managers must handle conflicting goals that govern the use of the resources within organizations. The proposed interactive possibilistic linear programming (IPLP) attempts to simultaneously minimize total project cost, total completion time and total crashing cost with reference to direct, indirect cost and relevant constraints. Besides, the proposed approach applies the signed distance method to transform fuzzy numbers into crisp values. Moreover, this paper will present an interactive solution
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張浚威. "Fuzzy Linear Programming--A Comparative Study." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/63593743974912905160.

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碩士<br>國立臺灣大學<br>化學工程學研究所<br>87<br>In this thesis, firstly the concepts of conventional linear programming and fuzzy theory are introduced briefly. In real-world problems, however, parameters of a system may not be as crisp as in the assumption of conventional linear programming. In order to deal with the problems, some advanced linear programming methods have been suggested, including stochastic programming, interval programming and fuzzy programming. Among these programming methods, stochastic programming methods lack computation efficiency, and the model of interval programming methods is ov
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