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  • Articles: DFG German National Licenses  (2)
  • 2000-2004  (2)
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  • Articles: DFG German National Licenses  (2)
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Years
Year
  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 18 (2001), S. 0 
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: In recent years, new product development (NPD) has become more and more competitive and globalized. In order to succeed in the global marketplace, it is imperative to take multicultural factors into serious consideration during the stage of product concept development. Generally, the voice of customers has been treated as a starting point to downstream product definition and design metrics determination in developing new product concepts. As a result, the elicitation, representation and management of customer requirements will determine the success level of an organization's NPD efforts. Therefore, multicultural factors, also known as the ‘macro’ perspective in the business environment, are the most significant imperatives for organizations to handle, especially in the current trend of globalization. In practice, there are few holistic and promising systems for multicultural factor evaluation in customer requirements. This work aims at realizing a prototype system that combines the strengths of the laddering technique and the radial basis function neural network for customer requirements acquisition and multicultural factor evaluation. The performance of the prototype system is illustrated by using a case study on the design of a refrigerator. The results obtained from the case study are discussed.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 98 (2000), S. 255-269 
    ISSN: 1572-9338
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract This paper considers the problem of approximating a given symmetric matrix by a symmetric matrix with a prescribed spectrum so that the Frobenius norm of the matrix difference is minimized. By the introduction of a variable search direction, a new convergent algorithm for solving the problem is derived, which is guaranteed to be convergent and is capable of achieving a fast rate of convergence. It is shown that the set of fixed points of the proposed algorithm coincides with the set of equilibrium points of the original double bracket equation. A numerical example is presented to demonstrate superior performance of the proposed algorithm over a standard double bracket algorithm.
    Type of Medium: Electronic Resource
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