This paper focuses on the stochastic 2m+1 Point Estimated Method (PEM) for Economic/Emission Load Dispatch (EELD) in a power system considering both thermal and wind turbine units. In solving this problem, the goal is...
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ISBN:
(纸本)9789814417730
This paper focuses on the stochastic 2m+1 Point Estimated Method (PEM) for Economic/Emission Load Dispatch (EELD) in a power system considering both thermal and wind turbine units. In solving this problem, the goal is to find optimal generation output of units to serve load demand while both cost and emission are minimized simultaneously. To this end, a novel evolutionary algorithm using Improved Bat Algorithm (IBA) is employed. To enhance the convergence characteristics and avoid being trapped in local optima, a new mutation strategy is suggested. Also, an interactive fuzzy satisfying technique is used to deal with the multi-objective optimization problem. The effectiveness and superiority of the proposed framework is validated with numerical results.
Sales forecasting has a great impact on facilitating effective and efficient management of resources for construction projects. Since, having appropriate sales prediction provides appropriate financial activities, esp...
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ISBN:
(纸本)9789814417730
Sales forecasting has a great impact on facilitating effective and efficient management of resources for construction projects. Since, having appropriate sales prediction provides appropriate financial activities, especially for large scaled construction projects. This study proposes a numerical model for construction projects which integrates Fuzzy Rule Based System (FRBS) with Net Present Value (NPV) analysis. In the proposed hybrid model, FRBS is used for sales forecasting and provides input for NPV formulation. The proposed model is applied to a construction project in Istanbul so as to demonstrate its performance and practicality for real life problems.
A growing problem of the supply chain, the bullwhip effect is studied in this paper. In order to develop effective strategies to mitigate the bullwhip effect, we need to understand the factors that cause it and the in...
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ISBN:
(纸本)9789814417730
A growing problem of the supply chain, the bullwhip effect is studied in this paper. In order to develop effective strategies to mitigate the bullwhip effect, we need to understand the factors that cause it and the interactions among them. This paper uses Fuzzy Cognitive Map to analyze the interaction among the causes of the bullwhip effect and determines the leading factors that are the root causes of this problem.
Unmanned Aerial Vehicles (UAVs) are fast growing sector. Nowadays, the market offers numerous possibilities for off-the-shelf UAVs such as quadrotors. Until UAVs demonstrate advance capabilities such as autonomous col...
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ISBN:
(纸本)9789814417730
Unmanned Aerial Vehicles (UAVs) are fast growing sector. Nowadays, the market offers numerous possibilities for off-the-shelf UAVs such as quadrotors. Until UAVs demonstrate advance capabilities such as autonomous collision they will be segregated and restricted to flight in controlled environments. This work presents a visual fuzzy servoing system for obstacle avoidance using UAVs. To accomplish this task we used the visual information from the front camera only. This image is processed off-board and the information is send to the Fuzzy Logic controller which then send commands to modify the orientation of the aircraft. Results from flight test are presented with a commercial off-the-shelf platform.
Measuring consensus level for a set of preferences requires a proper distance defined on the considered domain. We focus on preference-approvals which are extensions of ordinal preferences by the approval information....
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ISBN:
(纸本)9789814417730
Measuring consensus level for a set of preferences requires a proper distance defined on the considered domain. We focus on preference-approvals which are extensions of ordinal preferences by the approval information. For any given set of alternatives, a preference-approval is defined by a weak ordering of the alternative set, subsets of approved and disapproved alternatives and a consistency condition. We propose a method of using weighted distances for ordering and approval components. A consensus measure based on this distance is provided which is sensitive to the position of the disagreements on ordering and approval.
This article describes the task of minimum cost flow finding in the transportation network in fuzzy conditions. Technique for solving the task of minimum cost flow determining in the graph with upper and lower fuzzy f...
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ISBN:
(纸本)9789814417730
This article describes the task of minimum cost flow finding in the transportation network in fuzzy conditions. Technique for solving the task of minimum cost flow determining in the graph with upper and lower fuzzy flow bounds is examined. This task is observed in fuzzy conditions according to the criteria of real life. The numerical example is presented.
Let Omega be a complete residuated lattice. Let SetR(Omega) be the category of sets with similarity relations with values in Omega (called Omega-sets), which is an analogy of the category of classical sets with relati...
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ISBN:
(纸本)9789814417730
Let Omega be a complete residuated lattice. Let SetR(Omega) be the category of sets with similarity relations with values in Omega (called Omega-sets), which is an analogy of the category of classical sets with relations as morphisms. A cut system in an Omega-set (A, delta) in the category SetR(Omega) is a system (C-alpha)(alpha is an element of Omega) where C-alpha are subsets in Lambda x Omega with some special properties. It is well known that in the category SetR(Omega), there is a close relation between cut systems in an Omega-set on one hand and fuzzy sets in the same Omega-set, on the other hand. Moreover, there exists an extension procedure such that any system (C-alpha)(alpha) of subsets from Ax Omega can be extended onto a cut system ((C) over bar (alpha))(alpha) a a In the paper we prove that the extension procedure is, in some sense, the best possible. This will be expressed by the theorem which states that the category of such subsets is a full reflective subcategory in the category of cut systems.
In this paper we applied fuzzy chance constrained programming with uncertain parameters to warehouse location problem. The problem studied in the paper has uncertain demand which necessitates the utilization of fuzzy ...
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ISBN:
(纸本)9789814417730
In this paper we applied fuzzy chance constrained programming with uncertain parameters to warehouse location problem. The problem studied in the paper has uncertain demand which necessitates the utilization of fuzzy numbers for representing the related demands. Fuzzy values being embedded in the objective function, in turn compels the implementation of credibility measure in the proposed model. The model is a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm. Lastly, a numerical example is illustrated in order to demonstrate the validity of the algorithm.
A new decision making approach is presented where the available information is uncertain and can be assessed with interval numbers. We consider complex environments where the available information is formed by using d...
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ISBN:
(纸本)9789814417730
A new decision making approach is presented where the available information is uncertain and can be assessed with interval numbers. We consider complex environments where the available information is formed by using different sources of information that have to be considered in the analysis. We introduce a new aggregation operator adapted for these situations that we call the uncertain generalized unified aggregation operator (UGUAO). It includes a wide range of classical aggregation operators in the same formulation.
The word "modeling" comes from the Latin word "modellus". It describes a typical human way of coping with the reality. So, a model will be a simplified version of something that is real. Before to ...
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ISBN:
(纸本)9789814417730
The word "modeling" comes from the Latin word "modellus". It describes a typical human way of coping with the reality. So, a model will be a simplified version of something that is real. Before to the study of the typical methods of Fuzzy Logic we expose briefly which have been the historical origins of so forceful tool of the current science and technology. Because this search of their origins and evolution not only possess an intrinsic interest of mere cultural character, it can allow us to open new perspectives to know where it can advance in the future. Fuzzy Modeling will be defined as the construction of the Fuzzy Inference process. We analyze here this process, very useful for many interesting applications in modeling and optimization problems.
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