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IEEE International Conference on fuzzy Systems

作者： Jin, Chenxia Shi, Yan Yang, Meng Li, Fachao Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Peoples R China Tokai Univ Grad Sch Sci & Technol Kumamoto Japan Hebei Univ Sci & Technol Sch Sci Shijiazhuang Peoples R China

ISBN: (纸本)9781479920723

fuzzy programming approach has wide application in many fields such as project management, multi-attribute decision making, and comprehensive evaluation. Its solving methods have attracted many attentions. In this paper we present a new approach, based on the genetic algorithm, for dealing with a programming problem with fuzzy-valued objective function and constraints. Firstly, we propose the concept of generalized equilibrium value of fuzzy number, and analyze the properties, further give the operation rules;secondly, we establish a generalized equilibrium value-based fuzzy programming method combined with genetic algorithm;finally, we analyze the characteristic of the above mentioned method through a non-linear fuzzy programming problems.

关键词： fuzzy programming fuzzy number ranking triangular fuzzy number generalized equilibrium value genetic algorithm

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fuzzy programming THEORY BASED ON SYNTHESIZING EFFECT AND ITS APPLICATION

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2010年第8期6卷 3563-3572页

作者： Li, Fachao Jin, Chenxia Shi, Yan Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang 050018 Peoples R China Tokai Univ Sch Ind Engn Kumamoto 8628652 Japan Dalian Univ Technol Sch Management Dalian 116023 Peoples R China

In this paper, by analyzing the essential characteristic of fuzzy programming and the deficiencies of the existing methods, we propose the concept of synthesizing effect function for processing the objective function and constraints, and give an axiomatic system for synthesizing effect function. Then, we establish a general fuzzy programming solution model based on synthesizing effect function (denoted by BSE-FGM, for short), and give the concrete application demonstration. Finally, we analyze the model through an example. All the results indicate that our method not only includes the existing fuzzy programming methods, has better structural feature, but also can, effectively merge the decision preferences into the solution, so it can be widely used in many fields such as complicated system optimization and artificial intelligence.

关键词： fuzzy programming fuzzy decision fuzzy information Synthesizing effect function Inequity degree Genetic algorithm

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An improved evolutionary programming algorithm for fuzzy programming problems and its application

An improved evolutionary programming algorithm for fuzzy pro...

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5th International Conference on Machine Learning and Cybernetics

作者： Qian, Wei-Yi Zhang, Jin Bohai Univ Dept Math Jinzhou 121000 Peoples R China

ISBN: (纸本)1424400600

An improved evolutionary programming algorithm is proposed for fuzzy programming problems. The idea is to mimic the physics of electromagnetism by considering each individual as an electrical charge. Charge of each individual is defined using membership functions. After calculating these charges, like the electromagnetic force, we calculate a combination force exerted on each individual. This combination force is regarded as the search direction of mutation operator. The fitness function is given by membership functions. A fuzzy model is developed for designing 3D trajectory of horizontal wells. The fuzzy model can be transformed to fuzzy programming problem and solved by our proposed method. The model is illustrated numerically and the results are efficiently.

关键词： fuzzy programming membership function horizontal wells evolutionary programming algorithm

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A credibility-based fuzzy programming model for APP problem

A credibility-based fuzzy programming model for APP problem

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International Conference on Artificial Intelligence and Computational Intelligence

作者： Zhu, Haiping Zhang, Jian Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780769538167

We analyze the importance of practical aggregate production planning (APP) under uncertain environment and present a novel fuzzy programming resolution model based on the credibility measure of fuzzy event. The customers' demands, the unit profits and the available manufacturing capacities are all regarded as fuzzy variables;three types of common constraints are re-formulated as fuzzy chance constraints. Considering that the generalized fuzzy optimizing model is difficult to solve, we deduce an equivalent transformation technique on the assumption that the fuzzy variables obey trapezoidal distributions. In this way we convert these models into a equivalent crisp linear programming model which can be rapidly solved by the Simplex algorithm. Finally, we employ this approach on a real-world fuzzy APP problem in an automobile pressing company. The results demonstrate the effectiveness and applicability of the proposed algorithm.

关键词： fuzzy set credibility theory aggregate production planning fuzzy programming

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Research on a Wear-Law Model based on fuzzy programming

Research on a Wear-Law Model based on Fuzzy Programming

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IEEE 16th International Conference on Industrial Engineering and Engineering Management

作者： Wang, J. N. Shang, W. Tang, Y. F. Liu, X. K. Acad Mil Transportat Tianjin Peoples R China Chinese Acad Sci Ctr Forecasting Sci Beijing Peoples R China

ISBN: (纸本)9781424436705

The paper proposes a fuzzy programming based wear-law model. Theoretical foundations, technical instructions are elaborated. And an application of cylinder wear modeling is presented to test the feasibility and reliability of the proposed model. It is proved that the proposed wear-law model is sufficient to describe a product's wear law as a fuzzy variant. This research offers an innovative instrument for wear law analysis.

关键词： fuzzy programming Wear-Law Modeling Cylinder Wear-Law Models

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Multiobjective flow network problem using fuzzy programming technique

Multiobjective flow network problem using fuzzy programming ...

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6th IEEE International Conference on Intelligent Transportation Systems

作者： Patra, S Philips Res India Philips Software ctr Bangalore 560008 Karnataka India

ISBN: (纸本)0780381254

This paper presents multiobjective flow network problem using fuzzy programming technique, which is useful for the planning, modeling and designing of flow network problems like communication networks, oil pipeline systems and power systems. Many authors have treated flow network problem with a single objective function. Practically, this is multiobjective (e.q., capacity, time, cost) problem. The multiobjective flow network problem is transformed to a single objective linear programming problem through a fuzzy membership function and the problem is solved by linear programming algorithm. An algorithm has been developed based on fuzzy linear programming algorithm. Examples are illustrated using the proposed algorithm.

关键词： flow networks fuzzy programming optimization multicriteria decision making

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Spare Parts Production Planning Model Based on fuzzy programming

Spare Parts Production Planning Model Based on Fuzzy Program...

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2nd International Conference on Materials and Products Manufacturing Technology (ICMPMT 2012)

作者： Zhang, Xiaoyu Liu, Chen Yang, Naizong Civil Aviat Univ China Coll Aeronaut Automat Tianjin Peoples R China Guangzhou Civil Aviat Coll Guangzhou 391286 Peoples R China

ISBN: (纸本)9783037855447

In the field of civil aviation, MRO market has a strong seasonal characteristic. Combined with research on continuous airworthiness of the aircraft, the spare parts order procedure and flight planning process, and analysis on fuzzy demand and fuzzy production capacity, the model of spare parts order with fuzzy reliability constraints is established. Under the background of actual civil aviation enterprises, spare parts quantitative order model and algorithm in spare parts planning decision system in non-deterministic environment are put forward. It applies the theories and methods of fuzzy mathematics and probability and statistics, building the target programming model for reconfigurable spare parts, to formulate optimal reconfigurable spare parts production plan. Overall steps to solve the model are proposed, which make decision process in fuzzy environment more flexible, and reduce the number of emergency orders.

关键词： scheduled maintenance planning fuzzy programming modeling optimization

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Using Grey-fuzzy programming Approach to Solve Multi-Objective Supplier Selection Problem 4

Using Grey-Fuzzy Programming Approach to Solve Multi-Objecti...

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4th International Conference on Industrial Engineering and Applications (ICIEA)

作者： Fatrias, Dicky Alfadhlani Kamil, Insannul Univ Andalas Dept Ind Engn Padang Indonesia

ISBN: (纸本)9781509067756

An increasing need to improve efficiency have been enforcing buyer companies to give more attention on their supplier. As one critical task within the company's supply chain management system, a proper supplier selection mechanism not only results in a more reliable and long term supplier-buyer partnership, but also provides opportunities to reduce various costs and realizes stable production. However, one of the main characteristic of supplier selection problem is that a fuzziness often adheres in the process of selection. In this paper, multi-objective-objective supplier selection problem is studied, and a grey fuzzy programming approach is developed to tackle uncertainty in decision maker's aspirations for fuzzy objectives, and in membership parameters of fuzzy objectives simultenously. In the formulated problem, uncertainty in the membership parameters is treated as interval grey numbers. A numerical example demonstrates our approach in providing a range of compromise solutions which impart more flexibility in supplier selection decisions.

关键词： supplier selection multi-objective problem fuzzy programming grey number

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A fuzzy Model of Scenario Planning Based on the Credibility Theory and fuzzy programming

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International Conference on Mechatronics and Materials Processing (ICMMP 2011)

作者： Shi, Zhong Guo Univ Elect Sci & Technol China Sch Management & Econ Chengdu 610054 Peoples R China

ISBN: (纸本)9783037852385

Uncertainty, complexity and paradigm shift are three challenges that are inherent in emerging technologies. Scenarios provide background for decision-making by clarifying possible paths of emerging technologies. Based on the analysis of three basic stages of empirical scenario construction, i.e. analysis phase, subsystem analysis phase and syntheses phase, credibility theory and fuzzy programming are introduced to dissolve scenario planning problems. This paper adopt such research road as (1) measurement of factors' credibility, (2) analysis of pairwise factors' compatibility, (3) eliminate incompatible scenarios through pruning rules, and (4) choice of scenarios through fuzzy programming. And then, the choice of scenarios can be conducted by expected value model. In the end, the further research fields are also discussed.

关键词： Scenario planning Credibility theory fuzzy programming

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Improving Reliability Design of Multi-state K-out-of-N Systems by fuzzy programming

Improving Reliability Design of Multi-state K-out-of-N Syste...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009)

作者： Ebrahimipur, V. Azadeh, A. Quarashi, S. F. Univ Tehran Univ Coll Engn Dept Ind Engn Tehran Iran

ISBN: (纸本)9781424448692

In a multi-state system, both the system and its components are allowed to experience more than two possible states, e.g. completely working, partially working or partially failed, and completely failed. In this paper reliability evaluation and reliability optimization of k-out-of-n systems are studied for the case where the components and the system have multiple performance levels. A recursive algorithm is used for reliability evaluation of multi-state k-out-of-n systems with independent components. Then a fuzzy model is presented for minimization total cost subject to reliability constraint. In the fuzzy model a fuzzy constraint is used for reliability that may we use different weights to constraint and objective function, and as a consequence the amount of importance of each objective function and reliability constraint can consider. Finally a numerical example is given.

关键词： Multi-state K-out-of-N Reliability Optimization fuzzy programming

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