In this paper we attempt to propose a method for preference degree analysis in multiobjective decisionmaking problems(MDMPs), called the multiple factor analysis method based on a hierarchical analysis model. The conc...
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In this paper we attempt to propose a method for preference degree analysis in multiobjective decisionmaking problems(MDMPs), called the multiple factor analysis method based on a hierarchical analysis model. The concept of preference degree(PD) is first discussed. Here a PD is used as a measurement for describing preference information of decision makers (DMs) to some value of an objective. A hierarchical model for analyzing the preference information is then deduced by defining objective domain of discourse (ODD), fuzzy degree domain of discourse (FDDD), factor domain of discourse (FDD) and sensitivity vector. Furthermore, some methods are explored for analyzing DMs* PDs of objective values according to a single factor and multiple factors, respectively. At last, an example is briefly introduced.
A general formula for the slope and mathematical models of digitized straight-line segments are derived and discussed in detail. The models are parametric and the parameters are calculated uniquely and in closed form ...
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ISBN:
(纸本)0818608781
A general formula for the slope and mathematical models of digitized straight-line segments are derived and discussed in detail. The models are parametric and the parameters are calculated uniquely and in closed form from the slope without the need for recursion or interaction. The modeling is information-preserving and explicitly uses the slope. The models are in a form convenient for plotting, detecting, and recognizing digitized straight-line segments.< >
An on-line scheme to fault detection in adaptive control systems is proposed by introducing Kullbaek Discrimination Information (KDI) as a detection index. When a physical parameter change due to a failure has occurre...
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An on-line scheme to fault detection in adaptive control systems is proposed by introducing Kullbaek Discrimination Information (KDI) as a detection index. When a physical parameter change due to a failure has occurred in a system under adaptive control, the failure effect will hardly be visible in the output performance because of the adaptation mechanism. Such a parameter change is also difficult to detect by monitoring the regulator parameters, which are determined by a recursive identification based on the direct approach. Since the failure effect is reflected as a change in the predictor model used for the adaptive control design, the fault detection leads to a model discrimination problem. It has been shown that the KDI can be used as an effective distortion measure for the model discrimination and the index can be applied in a modified form to detect a fault on-line. Simulation studies on a second order damped oscillatory system have been carried out to demonstrate the efficiency of the method.
On the basis of self-tuning regulators attention is given to theoretical and practical aspects dealing with the application of adaptive control to ship course keeping. In this papar a LQG optimal controller is develop...
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On the basis of self-tuning regulators attention is given to theoretical and practical aspects dealing with the application of adaptive control to ship course keeping. In this papar a LQG optimal controller is developed which avoids the diffioulty of solving Riccati equation on line. An extended state vector Kalman filter is designed to improve its robustness and convergence. Parameters in both the LQG controller and Kalman filter are estimated by rernrsive least square identification so that the scheme has a high degree of adaptability in the time-variant environment. The control strategies are implemented in a microcamputerized adaptive control unit which has been attached to the autopilot on board “YUHONG” and undergone the sea trials. Results of experiment show that self-tuning regulators reduce the propulsion losses in addition to keeping the course satisfactorily.
The paper presents a demographic-economic simulation model DEM-CEM system. Our efforts at building the DEM-CEM system focus on the construction of an age, sex, region, educational attainment level and skill level spec...
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The paper presents a demographic-economic simulation model DEM-CEM system. Our efforts at building the DEM-CEM system focus on the construction of an age, sex, region, educational attainment level and skill level specified, five dimensional population model—DEM. And integrate the DEM to a Computable general equilibrium model (CGE model) of economic development—CEM. The DEM-CEM system relates population dynamics to economic development of a representative developing country. The simulation's major intended output is illustration of different dynamic path of the economy subject to alternative policy choices. The demographic factor as a policy variable reflects both the quantity and the quality change of the population and labor force over time, and influences the national economic development through channels of the formation of human capital, e.g. formal education system, on-the-job training program, health services etc. Simulations constructed under various historical and policy counterfactual hypotheses, are reported. The results were compatible with much of the earlier literature and certain new results offer a useful foundation for furture quantitative work of policy counterfacutal study.
The paper discusses a general approach to the algorithms of ranking multiple-aspect alternatives constructed with the aid of fuzzy relational equations. It is pointed out that the algorithms can be constructed by cons...
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The paper discusses a general approach to the algorithms of ranking multiple-aspect alternatives constructed with the aid of fuzzy relational equations. It is pointed out that the algorithms can be constructed by considering data sets provided by prototypical situations. Discriminating properties of the proposed method are also taken into consideration.
作者：
STIMSON, WAMARSH, MTUTTICH, RMWilliam A. Stimsonreceived his B.S. degree in mathematics from the University of Texas at El Paso in 1964
and his M.S. degree in engineering from the University of Santa Clara in 1971. He served in the U.S. Army Artillery during the Korean Conflict and subsequently was employed at IBM Huntsville Alabama until 1968 where he worked in the design of automatic control systems of the Saturn vehicle. From 1968 until 1971 he was employed at Ames Research Center Moffett Field in the design of nonlinear control systems for sounding rockets and pencil-shaped spacecraft. Following this Mr. Stimson worked at Hewlett Packard Sunnyvale California as a test engineer in automatic test systems. Since 1973 Mr. Stimson has been employed at the Naval Ship Weapon Systems Engineering Station Port Hueneme. He was a ship qualification trials project supervisor for many years and is now serving as master ordnance repair deputy program manager. Mr. Stimson is a member of the American Society of Naval Engineers and is program chairman of the Channel Islands Section. Cdr. Michael T. Marsh
USNreceived a B.S. in mathematics from the University of Nebraska and was commissioned via the NESEP program in 1970. He holds an M.S. in computer science from the U.S. Navy Postgraduate School and an MBA from the State University of New York. Cdr. Marsh has served in the weapons department of USSFrancis Hammond (FF-1067) and of USSJohn S. McCain (DDG-36). He was weapons officer aboard USSSampson (DDG-10). As an engineering duty officer Cdr. Marsh was the technical design officer for PMS-399 at the FFG-7 Class Combat System Test Center from 1978 to 1982. He is presently combat system officer at SupShip Jacksonville and has been active in the MOR program since its inception. Cdr. Marsh is also the vice chairman of the Jacksonville Section of ASNE. LCdr. Richard M. Uttich
USNholds B.S. and M.S. degrees in mechanical engineering from Stanford University. He enlisted in the Navy in 1965 serving as an electronics technician aboard USSNereus (A
The 600-ship United States Navy offers private shipyards an unprecedented opportunity for overhaul of surface combatants with complex combat systems. Recognizing the new challenge associated with the overhaul of high ...
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The 600-ship United States Navy offers private shipyards an unprecedented opportunity for overhaul of surface combatants with complex combat systems. Recognizing the new challenge associated with the overhaul of high technology combat systems in the private sector, the Navy in 1983 established the master ordnance repair (MOR) program. This program, a joint effort of the Naval Sea Systems Command (NAVSEA) and the Shipbuilders Council of America (SCA), was designed to identify and qualify those companies and private shipyards technically capable of managing combat systems work and conducting combat system testing. Standard Item 009–67 describes the role of the MOR company in combat system overhaul. It defines terms that are important to understanding the item itself, and imposes upon the prime contractor an obligation to utilize the MOR subcontractor in a managerial capacity. Specific tasks are assigned to the MOR company in planning, production, and testing. Finally, this standard item describes to the Navy planner how to estimate the size of the MOR team appropriate to the work package, a feature that will ensure that combat system bids are tailored to a specific availability.
The paper deals with implementation of a general scheme for fuzzy logic inference with the aid of fuzzy relational equations. It is shown that antecedents and consequents are related in terms of a fuzzy relation. Vari...
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The paper deals with implementation of a general scheme for fuzzy logic inference with the aid of fuzzy relational equations. It is shown that antecedents and consequents are related in terms of a fuzzy relation. Various implementation methods of generalized modus ponens and modus tollens are put into extensive study. It is pointed out that fuzzy relational equations form an effective and plausible tool for implementations of reasoning methods with fuzzy premises. Two examples of fuzzy controllers being a direct application of schemes of approximate reasoning are also discussed.
The objective of the subject paper is to present the results of a multicriterion analysis of dynamic properties of a hierarchical distributed process control system structure.
ISBN:
(纸本)3540150331
The objective of the subject paper is to present the results of a multicriterion analysis of dynamic properties of a hierarchical distributed process control system structure.
In this paper a method of designing a pattern classifier in the presence of fuzzy data (patterns represented in a linguistic manner) is provided. The classifier formulas are studied in a general setting of fuzzy relat...
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In this paper a method of designing a pattern classifier in the presence of fuzzy data (patterns represented in a linguistic manner) is provided. The classifier formulas are studied in a general setting of fuzzy relation equations. Special attention is focused on feature ordering while coping with fuzziness.
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