Fuzzy logic approaches to multi-objective decision-making in aerospace applications
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National Aeronautics and Space Administration, National Technical Information Service, distributor , [Washington, DC], [Springfield, Va
Space vehicles -- Propulsion sys
|Statement||Terry L. Hardy.|
|Series||NASA technical memorandum -- 106599.|
|Contributions||United States. National Aeronautics and Space Administration.|
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FUZZY LOGIC APPROACHES TO MULTI-OBJECTIVE DECISION-MAKING IN AEROSPACE APPLICATIONS Terry L. Hardy National Aeronautics and Space Administration Lewis Research Center Cleveland, Ohio Abs act Fuzzy logic allows for the quantitative represen-tation of multi-objective decision-making problems which have vague or fuzzy objectives and File Size: KB.
Get this from a library. Fuzzy logic approaches to multi-objective decision-making in aerospace applications. [Terry L Hardy; United States. National Aeronautics and Space Administration.]. Multi-Objective Decision-Making Under Uncertainty: Fuzzy Logic Methods Terry L.
Hardy Lewis Research Center Cleveland, Ohio Prepared for the Computing in Aerospace 10 Meeting sponsored by the American Institute of Aeronautics and Astronautics in the decision-making process, l's Fuzzy logic is. : Fuzzy Logic Approaches to Multi-Objective Decision-Making in Aerospace Applications.
In: Proceedings of 30th AIAA/ASME/SAE/ASEE joint Propulsion Conference, Indianapolis-IN (June 27–29, ) Google ScholarAuthor: M.
Details Fuzzy logic approaches to multi-objective decision-making in aerospace applications FB2
Lavagna, A. Finzi. This chapter first reviews the development of fuzzy multi-objective decision-making (FMODM) models and approaches and then proposes an effective way for an optimal solution in the FMOLP problem.
By introducing an adjustable satisfactory degree α, a new concept of FMOLP and a solution transformation theorem are given in this by: 2. In the light of these, this work presents a fuzzy multi-objective optimization decision-making method, which can be used for the optimization decision-making of the reliability with two or more objectives.
An example is given to illustrate the by: Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in.
A multi-objective optimization evolutionary algorithm incorporating preference information based on fuzzy logic May Computational Optimization and Applications 46(1) Real-Life Applications of Fuzzy Logic.
New computing techniques based on FL can be applied in the advancement of intelligent approaches for decision making, multi-objective goal attainment. inefficient decision-making units (DMUs) with the (CCR) model. Secondly the resulted weights for each input and output are considered as fuzzy sets and are then converted to fuzzy number.
Thirdly using Fuzzy multi-objective approach to find the highest and lowest of the weighted values. Fourthly. effectively.
For each issue of fuzzy multi-objective decision making, fuzzy multi-criteria decision making, fuzzy group decision making, multi-objective group decision-making, fuzzy multi-objective group decision-making presented in this book, we discuss their models and methods in great details with the related software systems and cases studies.
overview of fuzzy logic applications in power systems. Every effort was made to ensure the material was self-contained and requires no specific experience in fuzzy logic methods.
Description Fuzzy logic approaches to multi-objective decision-making in aerospace applications FB2
At the same time, this booklet includes contributions, which are undoubtedly state-of-the-art File Size: KB. By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature.
This means that the goals and/or the constraints constitute classes of alternatives whose boundaries are not sharply by: Fuzzy logic is a mathematical term, used by many researchers in different fields at different periods of time.
A great change has been occurred by the use of fuzzy logic. Due to the use of fuzzy logic many things has become easier and this has helped to save time, money and energy. Fuzzy logic was first time proposed by Lotti Zadeh in In this paper, a fuzzy multi-attribute decision making (FMADM) approach is proposed to be an alternative decision process for extracting the best compromise solution of multi-objective thermal power dispatch Saksorn Chalermchaiarbha and Weerakorn Ongsakul A Fuzzy Multi-Attribute Decision Making Approach forFile Size: KB.
Multi-objective decision making model under fuzzy random environment and its application to inventory problems. we have formulated a fuzzy random multi-objective model about inventory problems in fuzzy random environments and proposed the method of solving solution sets of fuzzy random multi-objective programming problems.
Till now, no Cited by: This paper presents several fuzzy approaches to design evaluation. Weights of criteria and performance levels are captured by fuzzy numbers, and the overall performance of an alternative is calculated through the new fuzzy weighted average.
Different approaches to express and calculate performance are by: The use of fuzzy logic approaches for scheduling FMS is considered due to its ability to deal uncertain and incomplete information and with multi-objective problems. Hatono I et al.proposed a method of constructing and revising knowledge bases to accomplish high-variety of.
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fuzzy multiple criteria decision making model to achieve the goal of merit-based selection. Literature Review Analytic Hierarchy Process (AHP) Analytic Hierarchy Process, a multi-objective decision-making method, was developed by Saaty in .
It is mainly used in the uncertainty of decision-making issues with many assessment criteria. In this paper, a modified TOPSIS (techniques for order preference by similarity to ideal solution) approach for solving bi-level multi-objective programming (BL-MOP) problems with fuzzy parameters is presented.
These fuzzy parameters are assumed to be characterized by fuzzy numerical data, reflecting the experts' imprecise or fuzzy understanding of the nature of the parameters in the Cited by: 1.
The Decision making has been a major research topic in the computing literature for so long due to its vast significance in many real-world applications.
Traditional fuzzy decision making (FDM) approaches have limitations due to the inability of theCited by: 5. Fuzzy Logics and Fuzzy Set Theory based Multi-objective Decision Making, Modeling Tool generalized for Planning for Sustainable Water Supply Jagdish Singh abstract The multi-level fuzzy logics model developed by fuzzy logics is based on the weightages and rankings with establishment of benchmark and finally gives the results for sustainable water.
in the fuzzy multi objective model and finally solved by single objective function ( et al., ). TOPSIS group decision making has been integrated with Fuzzy LP model to solve the supplier’s selection and allocating the order quantities to the supplier (Jafar Cited by: 2.
The application of fuzzy logic to decision-making in multiple-criteria optimization is particularly useful in cases where [ ] Read more. Read more. The paper proposes a problem-solving approach in the area of underground mining, related to the evaluation and selection of the optimal mining method, employing fuzzy multiple-criteria optimization.
Symmetry, an international, peer-reviewed Open Access journal. Dear Colleagues, The successful Bellman-Zadeh concept of a symmetrical decision model in a fuzzy environment, with full symmetry between constraints and objective functions, has been an inspiration for researchers on the general field of fuzzy decision making.
Multiple Attribute Decision Making M e t h o d s a n d a p p l i c a t i o n s Gwo-Hshiung Tzeng Jih-Jeng Huang. Impact Factor The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research.
Fuzzy Multi-Objective Linear Programming for Project Management Decision under Uncertain Environment with AHP Based Weighted Average Method Md. Sanowar Hossaina,*, Shahed Mahmuda, Md.
Mosharraf Hossainb a Assistant Professor, Department of Industrial andProduction Engineering, Rajshahi University of Engineering Technology, Bangladesh b Professor,Department of Industrial Author: Md.
Sanowar Hossain, Shahed Mahmud, Md. Mosharraf Hossain. This paper proposes a new method to evaluate Decision Making Units (DMUs) under uncertainty using fuzzy Data Envelopment Analysis (DEA).
In the proposed multi-objective nonlinear programming methodology both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in. Search and Rescue Operations (SAR) take place in any emergency situation where people are involved and their lives are at risk.
These operations are nowadays carried out with the help of advanced technology, such as Unmanned Aerial Vehicles (UAVs). In this work, several methods are proposed to calculate the UAV discrete path planning.
Previously, an intelligent characterization of the Cited by:. (source: Nielsen Book Data) Fuzzy logic control has become an important methodology in control engineering.
This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modelling.Supply chain cooperation strategy believes that the integration of the operation process can produce value for customers, optimize the supply chain of the connection between the vertical nodes, and constantly strengthen the performance of the advantages, so as to achieve mutual benefit and win-win results.
Under fuzzy uncertain environment and centralized decision-making mode, we study Cited by: 2. The overall aim in multi-objective optimization is to aid the decision-making process when tackling multi-criteria optimization problems.
In an a posteriori approach, the strategy is to produce a set of non-dominated solutions that represent a good approximation to the Pareto optimal front so that the decision-makers can select the most.
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