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Transportation investment project selection using fuzzy multiobjective programming

fuzzy SETS AND SYSTEMS 1998年第3期96卷 259-280页

作者： Teng, JY Tzeng, GH Natl Chiao Tung Univ Energy Res Grp Taipei 100 Taiwan Natl Chiao Tung Univ Inst Traff & Transportat Taipei 100 Taiwan Huafan Coll Human & Technol Dept Ind Management Taipei Taiwan

This paper proposes the fuzzy multiobjective programming for the problem of transportation investment project selection (TIPS). The programming then uses the fuzzy spatial algorithm, which calculates the performance of objective achievement and the requirement of resource utilization as of fuzziness, Under a complex and uncertain decision-making environment, there exists a certain degree of interdependence among these transportation investment projects. This paper uses expert evaluation, and conducts, respectively, with the consensus of most of the experts, the decision on interdependence type (complementary and substitutive) and on the degree of fuzzy interdependence. In every iteration of the fuzzy spatial algorithm, the method of ranking fuzzy numbers must be used so as to obtain the ranking for selecting investment projects. This paper has modified the method provided by Kim and Park in order that the preference of most of the decision makers or experts can be overlooked, since the degree of optimism or pessimism can be demonstrated in the profitability of every investment project. In the end, this paper will employ a numerical example to illustrate the method forwarded. (C) 1998 Elsevier Science B.V. All rights reserved.

关键词： transportation investment project selection fuzzy multiobjective programming interdependence fuzzy spatial algorithm majority rule ranking of fuzzy numbers

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Analysis of fuzzy multiobjective programming to CPM in project management

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Journal of Statistics and Management Systems 2004年第3期7卷 597-609页

In practical project management cases, they company many complex resource and large-scale related activities. Especially, it is under the conflict and incommensurate of time and cost, that makes it more difficult to make decision. Hence, we construct fuzzy multiobjective programming model from CPM technique, by this we emphasize the selectable flexibility among the feasible projects, and describe the decision problem brought from uncertainty and complex in project. In this paper, we relax the consumed time and cost of activity events when assumptions are certain to merge the practical situation. We applied fuzzy number to express estimate time and cost. It based on Lee and Li method to solve this problem. Finally, we employ numerical example to explain it, and LINGO package to calculate.

关键词： Project management CPM fuzzy number fuzzy multiobjective programming

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COMPARISON OF METHODOLOGIES FOR fuzzy AND STOCHASTIC multiobjective programming

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fuzzy SETS AND SYSTEMS 1991年第1期42卷 119-132页

作者： ROUBENS, M TEGHEM, J Faculté Polytechnique de Mons Rue de Houdain 9 7000 Mons Belgium

Methods for solving a multicriteria linerar program with coefficients of the objective functions and the constraints being flat fuzzy numbers and those dealing with a stochastic multicriteria linear program where imprecision of some data is modelled by probability distributions are surveyed. The methodologies are compared and evaluated. Some ideas for future research are emphasized.

关键词： fuzzy multiobjective programming

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A fuzzy multiobjective linear programming approach for green multiechelon distribution network design

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JOURNAL OF MODELLING IN MANAGEMENT 2024年第3期19卷 1024-1055页

作者： Tai, Pham Duc Jinawat, Krit Buddhakulsomsiri, Jirachai Thammasat Univ Sirindhorn Int Inst Technol Sch Mfg Syst & Mech Engn Khlong Nueng Thailand

Purpose - Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered. Design/methodology/approach - The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance isa four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min-max and augmented << -constraint methods with CPLEX as the solver. In addition to illustrating model's applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis. Findings - For the applicability of the model, the results indicate that the augmented << -constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented << -constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental ***/value - The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their sup

关键词： fuzzy multiobjective programming Four-echelons network Green supply chain Mixed-integer linear programming Augmented epsilon-constraint Min-max approach Pareto solution

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Temporal interdependence in fuzzy MCDM problems

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fuzzy SETS AND SYSTEMS 1997年第1期88卷 69-79页

作者： Ostermark, R Department of Business Administration Åbo Akademi University Henriksgatan 7 20500 Åbo Finland

Contemporaneous MCDM methodology is based on the simplifying assumption of independent objectives. This restriction was partly relaxed through the concept of(static) interdependent objectives introduced by C. Carlsson and R. Fuller. Most real world managerial decision problems involve interdependent objectives, yet in a temporal setting. In the paper we generalize the static concept to temporal fuzzy multiobjective programming problem. We introduce the concepts temporal support and temporal conflict in the objective set within both infinite and finite planning horizons. We also formulate dynamic versions of membership functions for interdependent objectives in crisp and fuzzy multiobjective programming problems. The new concepts are used to describe and model temporal goal conflicts in numerical illustrations. (C) 1997 Elsevier Science B.V.

关键词： temporal interdependence fuzzy multiobjective programming dynamic membership functions

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fuzzy MULTIPLE OBJECTIVE programming AND COMPROMISE programming WITH PARETO-OPTIMUM

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fuzzy SETS AND SYSTEMS 1993年第3期53卷 275-288页

作者： LEE, ES LI, RJ Department of Industrial Engineering Kansas State University Manhattan KS 66506-5105 USA

A fuzzy multiple objective decision making approach is proposed based on the desirable features of compromise programming and the fuzzy set theory. The proposed two-phase approach guarantees both nondominated and balanced solutions for solving both the crisp and the fuzzy multiple objective decision making problems. Furthermore, it is shown that the original compromise programming does not guarantee nondominated solutions if the distance parameter is assumed to be infinite and the resulting programming problem's solution is not unique.

关键词： fuzzy multiobjective programming COMPROMISE programming PARETO-OPTIMUM

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Comparison of fuzzy numbers using possibility programming: Comments and new concepts

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2002年第6-7期43卷 833-840页

作者： Iskander, MG American Univ Dept Econ Cairo Egypt

Comparing fuzzy numbers, using the possibility programming approach, was presented by Negi and Lee [1]. In this paper, we are going to state some comments concerning their approach. The case of comparing different fuzzy numbers is considered. Also, the formulation of the crisp problem in the case of fuzzy linear programming and fuzzy multiobjective linear programming is discussed, and a new modified model, in each case, is stated. Our proposed approach is illustrated by numerical examples. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： possibility programming fuzzy linear programming fuzzy multiobjective programming

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Expansion of isolated electrical systems in the Amazon: An approach using fuzzy multi-objective mathematical programming

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ENERGY POLICY 2009年第10期37卷 3899-3905页

作者： Bitar, Sandro D. B. da Costa, Carlos T., Jr. Barreiros, Jose A. L. Neto, Joao C. do L. Univ Fed Amazonas Dept Math Grp Optimizat & Fuzzy Syst BR-69077000 Manaus Amazonas Brazil Fed Univ Para Inst Technol Postgrad Program Elect Engn BR-66075110 Belem Para Brazil

This paper examines some problems encountered in the expansion of isolated electrical systems (IES) in the Amazon region, more precisely, the thermoelectric systems used in that region. Supposing a certain degree of uncertainty in energy consumption, we evaluate the expansion of thermoelectric power from firewood and diesel fuel, together with variations for costs, CO(2) emissions, and number of direct jobs (NDJ) generated with the use of these technologies. The analysis is accomplished by using fuzzy multi-objective mathematical programming, and interpreting each objective function both by itself and in combination with the others, through a fuzzy multi-objective parametrization. The scenarios are defined by the energy consumption percentage increase, limited to be below some admissible maximum value, while still considering variations in the installed power. The costs, CO(2) emission, and the NDJ generated are analyzed and compared with the largest values obtained with the model of crisp mathematical programming, used for the original configuration. Finally, in Section 4, we present the results and respective analyses for the finished simulation. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： fuzzy multiobjective programming Environmental and social impacts Expansion of electrical systems

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A new approach for multiobjective decision making based on fuzzy distance minimization

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MATHEMATICAL AND COMPUTER MODELLING 2008年第9-10期47卷 808-826页

作者： Terol, Amelia Bilbao Univ Oviedo Dept Quantitat Econ Oviedo Spain

The aim of this paper is to design flexible decision making models in the distance metric optimization framework for problems including parameters which are represented by fuzzy numbers. Multi-criteria decision making methodologies based on distance functions involve the minimization of some form of distance from a desired point (ideal or specified by a decision marker). If it is assumed that the parameters of problem are fuzzy numbers, then it is natural to expect that this point also is so. Thus, in this paper it is supposed that the desired point is a vector of fuzzy numbers obtained from the imprecise information provided by the decision marker or, alternatively, composed by the individual optimum of each objective under consideration. The methodological proposal is an extension of the distance-based models and relies in the first instance, on the constructing of a fuzzy minimum distance obtained by solving linear programming problems. Secondly, it is shown that this fuzzy minimum distance possesses suitable features with respect to the quality and handling of information such that it can be incorporated in distance-based ordinary models which are necessary in order to determine an optimum decision. To illustrate the suitability of the method, a numerical example has been included. (c) 2007 Elsevier Ltd. All rights reserved.

关键词： fuzzy multiobjective programming goal programming compromise programming distance minimization fuzzy number value ambiguity and fuzziness

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A genetic algorithm-based fuzzy multi-objective programming approach for environmental water allocation

A genetic algorithm-based fuzzy multi-objective programming ...

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5th World Water Congress of the International-Water-Association

作者： Yang, W. Sun, D. Z. Harbin Inst Technol Sch Municipal & Environm Engn Harbin 150090 Peoples R China

ISBN: (纸本)9781843395898

A fuzzy multiobjective-programming model was presented to determine appropriate environmental flow allocation in urban rivers. An integrated nonlinear fuzzy membership function, that represents a broader implication in fuzzy decision-making, was regarded as the general objective and genetic algorithm became an essential tool in search for the global optimal solution. A case study of optimal allocation for environmental water requirements in the Liming River Basin, Daqing, demonstrates the capability of the fuzzy multiobjective model based on fuzzy decision theories to work suitably in water environmental management in a river basin.

关键词： environmental water requirements flow allocation fuzzy multiobjective programming genetic algorithm

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