According to the gap model, service quality is the gap between user's expectations and perceptions. When experiences exceed expectations, the quality of the service is high, and vice versa. Following that idea, we...
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ISBN:
(纸本)9789814417730
According to the gap model, service quality is the gap between user's expectations and perceptions. When experiences exceed expectations, the quality of the service is high, and vice versa. Following that idea, we present a fuzzy linguistic quality evaluation model based on the LibQUAL+ methodology to evaluate the quality of digital libraries according to user's opinions. To derive the gaps essential for measuring perceptions of service quality, users are asked to establish their judgments across three scales for each digital service of the digital library. It allows the identification of digital services in which service levels should be improved and the identification of digital services satisfied outstandingly by the digital library.
Throughout this note, a classical construction by Newman and Read, that arises in Utility Theory, is revisited and analyzed from a modern perspective, relating it to several key principles on representability of ordin...
ISBN:
(纸本)9789814417730
Throughout this note, a classical construction by Newman and Read, that arises in Utility Theory, is revisited and analyzed from a modern perspective, relating it to several key principles on representability of ordinal structures.
Financial indicators which have been monitoring and announcing to public periodically are indispensable tools particularly in the banking sector. In this study, it has been chosen 22 different Banks in Turkey. The 39 ...
ISBN:
(纸本)9789814417730
Financial indicators which have been monitoring and announcing to public periodically are indispensable tools particularly in the banking sector. In this study, it has been chosen 22 different Banks in Turkey. The 39 performance related criteria for those banks were evaluated by an integrated AHP approach and their weights were computed. Then, the grey relational degrees of 22 banks were computed by Grey Relational Analysis Method. On the other hand banks were ranked by using Financial Ratio Analysis. The obtained results from both methods were presented comparatively.
This paper considers the vehicle routing problem with soft time windows (VRPSTW) where the customers' preferences and tolerances on the latest delivery times are handled by use of a fuzzy programming model. An ind...
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ISBN:
(纸本)9789814417730
This paper considers the vehicle routing problem with soft time windows (VRPSTW) where the customers' preferences and tolerances on the latest delivery times are handled by use of a fuzzy programming model. An indirect enumeration strategy is proposed to generate pseudo-efficient (Pareto) solutions to the VRPSTW. The proposed model and the solution approach make easy to implement distributors' various strategies. A simulated annealing (SA) algorithm is implemented to solve the test problems. The importance and advantages of the proposed approach are illustrated by numerical results.
The discretization of continuous value is important to machine learning and data mining. In this paper, based on novel class-attribute interdependency criterion, a discretization algorithm (called NCAIC) is proposed, ...
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ISBN:
(纸本)9789814417730
The discretization of continuous value is important to machine learning and data mining. In this paper, based on novel class-attribute interdependency criterion, a discretization algorithm (called NCAIC) is proposed, which considers data distribution and the interdependency between all the classes and attributes, and adopts upper approximations as an part of the discretization criterion. In NCAIC algorithm, the class-attribute mutual information is adopted which can automatically control and adjust the extent of the discretization of continuous value, ensure discretization of real value attributes reasonable.
Uncertainties in the design process are investigated in this paper. A formal Bayesian method is presented for designers to quantify uncertainties in design process. The uncertainties are implemented in a decision supp...
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ISBN:
(纸本)9789814417730
Uncertainties in the design process are investigated in this paper. A formal Bayesian method is presented for designers to quantify uncertainties in design process. The uncertainties are implemented in a decision support system that plays a key role in design of complex projects where a large and multidisciplinary team of engineers are involved. The proposed method produces the probability distribution function of the model score or uncertainty. Two example applications for design and empirical demonstrate application of the method.
In this paper, a renewal-reward process which represents a fuzzy inventory model of type (s, S) with a discrete interference of chance is investigated. By utilizing the expression of the ergodic distribution of this p...
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ISBN:
(纸本)9789814417730
In this paper, a renewal-reward process which represents a fuzzy inventory model of type (s, S) with a discrete interference of chance is investigated. By utilizing the expression of the ergodic distribution of this process in terms of a fuzzy renewal function, asymptotic expansions for the alpha-cuts of this ergodic distribution is obtained when the interferences have a Weibull distribution with a fuzzy parameter.
In this paper we present a methodology for rigorous optimization of nonlinear programming problems in which the objective function can be represented using black box functions. The specific application is process desi...
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ISBN:
(纸本)9789814417730
In this paper we present a methodology for rigorous optimization of nonlinear programming problems in which the objective function can be represented using black box functions. The specific application is process design and operation in which the process is modeled using modular process simulators. These models consume large CPU time to converge, derivatives are not available, in some cases generate noise, and they are seen as black box models. Different techniques are available for replacing those models by simpler and computational inexpensive models. In this case a kriging metamodel is used to replace them. Kriging has high prediction accuracy and capabilities to estimate the prediction variance. Coupled to kriging the "Expected improvement" technique (EI) [3] is used to find the global solution for the kriging metamodel. The methodology is tested with two mathematical functions, and finally, applied to the optimization of the operation parameters of a gas turbine case study, which is simulated using AspenPlus.
A solution of the ranking problem using kernels is described.. As a consequence an elegant probabilistic ranking algorithm is obtained from the pocket algorithm. This removes a restriction from a former paper and simp...
ISBN:
(纸本)9789814417730
A solution of the ranking problem using kernels is described.. As a consequence an elegant probabilistic ranking algorithm is obtained from the pocket algorithm. This removes a restriction from a former paper and simplifies proofs considerably. In addition results concerning class probabilities are exhibited. Some preliminary experimental results are reported and briefly discussed.
Recently, it has been presented the concept of Hesitant Fuzzy Linguistic Term Sets (HFLTS) to manage hesitant situations under qualitative settings in which experts hesitate among different linguistic terms to express...
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ISBN:
(纸本)9789814417730
Recently, it has been presented the concept of Hesitant Fuzzy Linguistic Term Sets (HFLTS) to manage hesitant situations under qualitative settings in which experts hesitate among different linguistic terms to express their preferences or assessments. It was also defined the concept of envelope for an HFLTS to carry out the computational processes with them. However, this envelope does not keep the fuzzy representation because it is represented by a symbolic linguistic interval. Therefore, in this contribution we propose a new envelope for HFLTS based on Choquet integral that keeps the fuzzy representation in the computational processes with HFLTS.
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