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AN INTEGRATED fuzzy ANP-fuzzy DEMATEL-fuzzy multi-objective linear programming APPROACH FOR WEAPON SYSTEMS ACQUISITION

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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2021年第2期28卷 209-227页

作者： Rostamkhani, Ramin Abbasi, Morteza Malek Ashtar Univ Technol Management & Ind Engn Complex Tehran Iran

Weapon systems selection is one of the most crucial steps of a successful weapon systems acquisition process. The weapon systems selection problem is a complex decision-making problem involving multiple objectives and multiple interactive factors. This study presents a novel integrated approach to the weapon systems portfolio selection problem. The proposed integrated approach combines fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP), and fuzzy multi-objective linear programming (FMOLP). The integrated fuzzy DEMATEL-fuzzy ANP method is firstly applied to identify the weights of the criteria, and FMOLP is then used to determine the optimal weapon systems portfolio. Capabilities-based assessment (CBA) results and the traditional weapon system selection criteria are considered in the proposed approach, which yields a comprehensive set of criteria ranging from technological aspects to the factors identified through CBA. Furthermore, functional constraints are taken into account in the FMOLP phase of the procedure. Finally, the proposed approach is applied to a real-size problem to show its applicability and practicality.

关键词： Weapon systems acquisition Capabilities-based analysis fuzzy DEMATEL fuzzy ANP fuzzy multi-objective linear programming

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A fuzzy multi-objective linear programming model for solving remanufacturing planning problems with multiple products and joint components

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COMPUTERS & INDUSTRIAL ENGINEERING 2017年 110卷 242-254页

作者： Su, Tai-Sheng Natl Pingtung Univ Sci & Technol Dept Ind Management 1 Hsueh Fu Rd Pingtung 912 Taiwan

Remanufacturing planning issues involve extremely complex strategic decisions within the supply chain system, especially considering the multiple products and joint components that are involved. It is very important to know how to determine the appropriate amounts of procurement quantity and lot size. In actual lot-sizing production-to-order problems for recoverable remanufacturing systems, input data or parameters are often imprecise or fuzzy. This work develops a fuzzy multi-objective linear programming (FMOLP) model that simultaneously minimizes total costs, lead time and CO2 emissions with reference to multiple products and joint components. The proposed model evaluates cost-effectiveness, lead time and CO2 emissions, while integrating multi-products, multi-suppliers, multi-components, joint components and multi-machines into one remanufacturing production system. The analytical results presented in this work are able to assist decision-making managers to better understand systematic analyses, and the potential for cost-effectiveness, lead time and CO2 emissions in recoverable remanufacturing planning. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Remanufacturing multiple products Joint components fuzzy multi-objective linear programming CO2 emissions

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Novel Application of fuzzy multi-objective linear programming to Components Designed for Game or Animation Characters

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JOURNAL OF INTERNET TECHNOLOGY 2016年第7期17卷 1383-1390页

作者： Tzang, Yih-Jou Chi, Ting-Yun Chang, Hong-Yi Tzang, Chih-Hsuan Huang, Chun-Yen Da Lin Inst Technol Dept Comp Sci & Informat Engn New Taipei Taiwan Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei Taiwan Natl Chiayi Univ Dept Management Informat Syst Chiayi 60004 Taiwan Natl Taiwan Normal Univ Dept Comp Sci Taipei Taiwan MoRemote Inc Res Ctr Taipei Taiwan

This research presents a novel approach based on the fuzzy multi-objective linear programming model. We examined component design for game or animation characters to determine the best fit and the least number of components and software tools used. When people create a game or an animated character, they can apply the proposed approach to incorporate new components into a new character quickly. The proposed approach enables designing components of game or animation characters efficiently;and reduces design and development costs.

关键词： fuzzy multi-objective linear programming Design components Games Animated characters

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Novel Application of fuzzy multi-objective linear programming to Components Designed for Game or Animation Characters

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网际网路技术学刊 2016年第7期17卷 1383-1390页

作者： Yih-Jou Tzang Ting-Yun Chi Hong-Yi Chang Chih-Hsuan Tzang Chun-Yen Huang

关键词： fuzzy multi-objective linear programming Design components Games Animated characters

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An Application of fuzzy multi-objective linear programming for Components Design of Games or Animated Characters 1

An Application of Fuzzy Multi-Objective Linear Programming f...

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1st International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

作者： Tzang, Yih-Jou Chang, Hong-Yi Tzang, Chih-Hsuan Chi, Ting-Yun Huang, Chun-Yen De Lin Inst Technol Dept Comp Sci & Informat Engn New Taipei Taiwan Natl Chiayi Univ Dept Management Informat Syst Chiayi Taiwan Natl Taiwan Normal Univ Dept Comp Sci Taipei Taiwan Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei Taiwan MoRemote Inc Res Ctr Taipei Taiwan

ISBN: (纸本)9781467386005

The idea of this research is a novel application based on the fuzzy multi-objective linear programming model. We focus on the component design of a game or an animated character to discuss about the highest match, the least of components and software tools used. When people create a game or an animated character, they can apply the approach to combine the existed components with a new character quickly. The work is more efficient to make components of games or animated characters, and also it saves the costs of development.

关键词： fuzzy multi-objective linear programming mutiple objective design component games or animated characters

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A bipolar approach in fuzzy multi-objective linear programming

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fuzzy SETS AND SYSTEMS 2014年第Jul.1期246卷 127-141页

作者： Dubey, Dipti Mehra, Aparna Indian Inst Technol Dept Math Hauz Khas New Delhi 110016 India

The traditional frameworks for fuzzy linear optimization problems are inspired by the max-min model proposed by Zimmermann using the Bellman-Zadeh extension principle to aggregate all the fuzzy sets representing flexible (fuzzy) constraints and objective functions together. In this paper, we propose an alternative approach to model fuzzy multi-objective linear programming problems (FMOLPPs) from a perspective of bipolar view in preference modeling. Bipolarity allows us to distinguish between the negative and the positive preferences. Negative preferences denote what is unacceptable while positive preferences are less restrictive and express what is desirable. This framework facilitate a natural fusion of bipolarity in FMOLPPs. The flexible constraints in a fuzzy multi-objective linear programming problem (FMOLPP) are viewed as negative preferences for describing what is somewhat tolerable while the objective functions of the problem are viewed as positive preferences for depicting satisfaction to what is desirable. This approach enables us to handle fuzzy sets representing constraints and objective functions separately and combine them in distinct ways. After aggregating these fuzzy sets separately, coherence (or consistency) condition is used to define the fuzzy decision set. (c) 2013 Elsevier B.V. All rights reserved.

关键词： fuzzy mathematical programming fuzzy multi-objective linear programming Bipolarity Coherence condition Aggregation operator OWA operator

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Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max-min method

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APPLIED MATHEMATICAL MODELLING 2013年第10-11期37卷 6855-6869页

作者： Cheng, Haifang Huang, Weilai Zhou, Quan Cai, Jianhu Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Peoples R China Univ Auckland Informat Syst & Operat Management Business Sch Auckland 1001 New Zealand Zhejiang Univ Technol Coll Econ & Management Hangzhou 310023 Zhejiang Peoples R China

This paper proposes a method for solving fuzzy multi-objective linear programming (FMOLP) problems where all the coefficients are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. Using the deviation degree measures and weighted max-min method, the FMOLP problem is transformed into crisp linear programming (CLP) problem. If decision makers fix the values of deviation degrees of two side fuzzy numbers in each constraint, then the delta-pareto-optimal solution of the FMOLP problems can be obtained by solving the CLP problem. The bigger the values of the deviation degrees are, the better the objectives function values will be. So we also propose an algorithm to find a balance-pareto-optimal solution between two goals in conflict: to improve the objectives function values and to decrease the values of the deviation degrees. Finally, to illustrate our method, we solve a numerical example. (C) 2013 Elsevier Inc. All rights reserved.

关键词： fuzzy multi-objective linear programming fuzzy constraints Triangular fuzzy numbers Deviation degree Weighted max-min method

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Applying fuzzy multi-objective linear programming to project management decisions with the interactive two-phase method

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COMPUTERS & INDUSTRIAL ENGINEERING 2013年第4期66卷 1061-1069页

作者： Yang, Ming-Feng Lin, Yi Natl Taiwan Ocean Univ Dept Transportat Sci Keelung 20224 Taiwan Natl Taipei Univ Technol Coll Management Taipei 10643 Taiwan

The aim of this paper is to develop an interactive two-phase method that can help the Project Manager (PM) with solving the fuzzy multi-objective decision problems. Therefore, in this paper, we first revisit the related papers and focus on how to develop an interactive two-phase method. Next, we establish to consider the imprecise nature of the data by fulfilling the possibilistic programming model, and we also assume that each objective work has a fuzzy goal. Finally, for reaching our objective, the detailed numerical example is presented to illustrate the feasibility of applying the proposed approach to PM decision problems at the end of this paper. Results show that our model can be applied as an effective tool. Furthermore, we believe that this approach can be applied to solve other multi-objective decision making problems. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Project management Possibilistic programming approach Two-phase approach fuzzy multi-objective linear programming

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multi-objective Optimization for Integrated Production and Distribution Planning Using Non-linear fuzzy Membership Functions

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Operations Research Forum 2024年第4期5卷 110页

作者： Hossain, Md. Sanowar Hossain, Md. Mosharraf Department of Industrial & amp Production Engineering Rajshahi University of Engineering & amp Technology Rajshahi Bangladesh

Efficient resource allocation for production and cost-effective dispatch under uncertainty is crucial for a streamlined supply chain. Traditional segregated and deterministic production–distribution models often fall short in providing robust solutions due to dynamic market demands, supplier reliability, and resource availability. In this context, this paper focuses on integrating production and distribution problems while managing conflicting goals and addressing uncertainties. A fuzzy multi-objective linear programming (FMOLP) model is developed to simultaneously minimize the total integrated production cost and delivery time amid uncertainties. This article aims to shed light on the practical implications and benefits of adopting integrated production and distribution models. Here, triangular fuzzy numbers and the concept of the minimum accepted level method are employed to formulate the problem. The minimum operator and weighted additive operator methods are employed to aggregate all fuzzy sets with non-linear exponential membership functions for a better representation of the FMOLP problem. A scenario-based analytical hierarchy process (AHP) is devised, integrating expert knowledge and experience to rank multiple objectives, thereby enhancing realism for the respective case. The experimental results reveal that the proposed integration increases the satisfaction level of decision makers from 0.684 to 0.747. Furthermore, the higher degree of closeness of the proposed model compared to the employed approach validates the final results. Impacts and interaction analysis also demonstrate the necessity of an integrated approach for production and distribution planning under uncertainty. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： fuzzy multi-objective linear programming Non-linear membership function Supply chain production and distribution planning Uncertainty

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Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain

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EXPERT SYSTEMS WITH APPLICATIONS 2012年第9期39卷 8182-8192页

作者： Shaw, Krishnendu Shankar, Ravi Yadav, Surendra S. Thakur, Lakshman S. Indian Inst Technol Dept Management Studies New Delhi 110016 India Univ Connecticut Operat & Informat Management Dept Sch Business Storrs CT 06269 USA

Environmental sustainability of a supply chain depends on the purchasing strategy of the supply chain members. Most of the earlier models have focused on cost, quality, lead time, etc. issues but not given enough importance to carbon emission for supplier evaluation. Recently, there is a growing pressure on supply chain members for reducing the carbon emission of their supply chain. This study presents an integrated approach for selecting the appropriate supplier in the supply chain, addressing the carbon emission issue, using fuzzy-AHP and fuzzy multi-objective linear programming. fuzzy AHP (FAHP) is applied first for analyzing the weights of the multiple factors. The considered factors are cost, quality rejection percentage, late delivery percentage, green house gas emission and demand. These weights of the multiple factors are used in fuzzy multi-objective linear programming for supplier selection and quota allocation. An illustration with a data set from a realistic situation is presented to demonstrate the effectiveness of the proposed model. The proposed approach can handle realistic situation when there is information vagueness related to inputs. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Supplier selection fuzzy multi-objective linear programming fuzzy AHP Carbon emission Green house gas Textile supply chain

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