In this paper we consider the resource-constrained project scheduling problem with multiple execution modes for each activity. The objective function is the minimization of the project completion time. Heuristics base...
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ISBN:
(纸本)9789814417730
In this paper we consider the resource-constrained project scheduling problem with multiple execution modes for each activity. The objective function is the minimization of the project completion time. Heuristics based on priority rule are considered as initial solution procedures for this problem. The proposed Taboo search algorithm (TSA) is computationally compared, the results are analyzed and discussed, and some conclusions are given. Results obtained on six classes of test problems and comparison with other algorithms from the literature show that our algorithm gives better solutions.
There are several methods in the literature for finding the shortest path under uncertain constraints. In this study a fuzzy chance constrained model based on genetic algorithm is proposed for shortest path problem wi...
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ISBN:
(纸本)9789814417730
There are several methods in the literature for finding the shortest path under uncertain constraints. In this study a fuzzy chance constrained model based on genetic algorithm is proposed for shortest path problem with fuzzy constraints. The fuzzy simulation algorithm which checks whether fuzzy total travel time is in time window is presented in detail. A numerical example is given, and solved by using proposed method.
This paper proposes logical aggregation based on interpolative Boolean algebra as an aggregation tool for problems of multi-expert decision making. Expert opinions are unlikely to be identical, and they are usually ei...
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ISBN:
(纸本)9789814417730
This paper proposes logical aggregation based on interpolative Boolean algebra as an aggregation tool for problems of multi-expert decision making. Expert opinions are unlikely to be identical, and they are usually either close or conflicting to various degrees, or sometimes include different forms of interaction. In addition, there are many different types of decisions which fit the broad circumstances of multi-expert decision making and decision maker's point of view. Logical aggregation enables multi-expert aggregation based on linguistic requirements described by logical expressions. Logical expressions are uniquely transformed into corresponding generalized Boolean polynomials. Calculation of generalized Boolean polynomial values provides a decision maker with final alternative assessments by multiple experts.
A first study of some properties of the fuzzy D-implications is presented in this paper. Compared to the S-, R-, and QL - implications, D-implications are less used and reported in the literature. This fact constitute...
ISBN:
(纸本)9789814417730
A first study of some properties of the fuzzy D-implications is presented in this paper. Compared to the S-, R-, and QL - implications, D-implications are less used and reported in the literature. This fact constitutes a particular motivation to investigate and analyze some of their properties by providing analytical proofs. Such analysis is of high importance since it constructs a concrete theoretical framework, which can be used in a latter step for applying the D-implications in real life applications.
In this study, single objective profit maximization problem of a telecommunication intermediary is analyzed under uncertainty. In telecom market, various uncertainties exist in the related cost and pro t margins, whic...
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ISBN:
(纸本)9789814417730
In this study, single objective profit maximization problem of a telecommunication intermediary is analyzed under uncertainty. In telecom market, various uncertainties exist in the related cost and pro t margins, which can affect the optimization processes and the decision schemes generated. Therefore, the fuzzy set theory is employed in order to handle the non-deterministic problem parameters rising due to the presence of vagueness and imprecision. Two different pricing policies namely all-you-can send and pay-per-byte are implemented into novel possibilistic mathematical programming model. As solution approach, two commonly used different solution methodologies are applied to resulting integer programming model with fuzzy objective function coefficients. Finally, performances of suggested methods are tested on several randomly generated scenarios. The results obtained indicate that both approaches provide almost identical solutions.
An interactive population-based algorithm called EVALIMCO is presented in the paper. It is designed to solve multi-criteria convex integer optimization problems. A heuristic procedure is used to accelerate the search ...
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ISBN:
(纸本)9789814417730
An interactive population-based algorithm called EVALIMCO is presented in the paper. It is designed to solve multi-criteria convex integer optimization problems. A heuristic procedure is used to accelerate the search process. In this way the algorithm performs faster than the usual population-based algorithms. The performance of the algorithm is demonstrated on an illustrative example.
作者：
Ramezani, FahimehLu, JieUniv Technol Sydney
Decis Syst & E Serv Intelligence Lab Ctr Quantum Computat & Intelligent Syst Sch SoftwareFac Engn & Informat Technol Broadway NSW 2007 Australia
In any organization there are some main goals and lots of projects for achieving these goals. For any organization, it is important to determine how much these projects affect on achieving the main goals. This paper p...
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ISBN:
(纸本)9789814417730
In any organization there are some main goals and lots of projects for achieving these goals. For any organization, it is important to determine how much these projects affect on achieving the main goals. This paper proposes a new fuzzy multiple attribute-based decision support system (DSS) for evaluating projects in promoting the goals as such a selection may involve both quantitative and qualitative assessment attributes. In addition the proposed DSS has ability to choose the most appropriate fuzzy ranking method for solving given MADM problem. Also it contains sensitivity analysis system which provides opportunity for analyzing the impacts of attributes' weights and project s' performance on achieving organizations' goals, and assess the reliability of the decision making process. The proposed DSS can be applied for solving every FMADM problem which needs to rank some alternatives according to some attributes.
Rough sets theory is an important mathematic tool for data mining. Feature selection is a main step in the course of data mining. In this paper, we focus on the attribute reduction by using rough set theory in Set-val...
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ISBN:
(纸本)9789814417730
Rough sets theory is an important mathematic tool for data mining. Feature selection is a main step in the course of data mining. In this paper, we focus on the attribute reduction by using rough set theory in Set-valued Ordered information Systems (SOIS) from the view of information theory. Firstly, we introduce the information entropy and relative information quantity to SOIS. Then, we define attribute reduction by means of information entropy. Furthermore, an algorithm for computing reducts is proposed based on the information entropy. Finally, an illustrative example is employed to show the effectiveness of the proposed method for attribute reduction in SOIS.
We present the concept of strong equality index, starting from the definition of strong inclusion given by Dubois and Prade in 1980. We also present a construction method based on the use of implication operators and ...
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ISBN:
(纸本)9789814417730
We present the concept of strong equality index, starting from the definition of strong inclusion given by Dubois and Prade in 1980. We also present a construction method based on the use of implication operators and two specific properties of the implications.
The two-machine line model is often used as a building block to analyze and develop approximation methods for wider and more complex production systems. Therefore, many analytical formulations have been presented in t...
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ISBN:
(纸本)9789814417730
The two-machine line model is often used as a building block to analyze and develop approximation methods for wider and more complex production systems. Therefore, many analytical formulations have been presented in the literature. In this paper, we are interested on the throughput calculation of a two-machine production line considering the general case where the two machines have different failure and repair rates. Therefore, we have introduced an analytical formulation based on the construction and analysis of an equivalent machine. The presented model is compared with the Alden's model based on different reliability scenarios and different system configurations. The performances of both models are reported and commented.
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