Author
Weimin Dong
Bio: Weimin Dong is an academic researcher from Stanford University. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 11, co-authored 31 publications receiving 1336 citations.
Papers
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TL;DR: The vertex method can avoid abnormality due to the discretization technique on the variables domain and the widening of the resulting function value set due to multi-occurrence of variables in the functional expression by conventional interval analysis methods.
550 citations
TL;DR: A computational algorithm based on the α-cut representation of fuzzy sets and interval analysis is described which provides a discrete but exact solution to extended algebraic operations in a very efficient and simple manner.
540 citations
TL;DR: In this article, a methodology for rational pricing of catastrophe insurance is described, which has two components: a solvency-and stability-based pricing framework, and an engine to quantify the loss variability that drives solvencies and stability.
Abstract: A methodology for rational pricing of catastrophe insurance is described. The methodology has two components: a solvency- and stability-based pricing framework, and an engine to quantify the loss variability that drives solvency and stability. Generalization to account for contagious effects of catastrophes and multiple occurrence of peril is presented in detail.
52 citations
TL;DR: The interval analysis method is introduced to process interval information with interpretation from Dempster and Shafer's evidence theory and the Vertex Method is discussed to handle fuzzy information which is a generalization of interval information.
41 citations
TL;DR: It is suggested that when the available information is too crude to support a random definition, the interval or fuzzy model should be used to take advantage of the expediency with which interval and fuzzy uncertainties can be propagated and processed.
33 citations
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TL;DR: The literature is surveyed to identify potential research directions in disaster operations, discuss relevant issues, and provide a starting point for interested researchers.
1,431 citations
TL;DR: It is shown that the proposed fuzzy TOPSIS method performs better than the other fuzzy versions of the TOPSis method.
Abstract: This paper proposes a fuzzy TOPSIS method based on alpha level sets and presents a nonlinear programming (NLP) solution procedure. The relationship between the fuzzy TOPSIS method and fuzzy weighted average (FWA) is also discussed. Three numerical examples including an application to bridge risk assessment are investigated using the proposed fuzzy TOPSIS method to illustrate its applications and the differences from the other procedures. It is shown that the proposed fuzzy TOPSIS method performs better than the other fuzzy versions of the TOPSIS method.
791 citations
TL;DR: This work first makes a survey of the existing main aggregation operators and then proposes some new aggregation operators such as the induced ordered weighted geometric averaging (IOWGA) operator, generalized inducedordered weighted averaging (GIOWA), hybrid weighted averaged (HWA), etc., and briefly classify all of these aggregation operators.
Abstract: In this work, we first make a survey of the existing main aggregation operators and then propose some new aggregation operators such as the induced ordered weighted geometric averaging (IOWGA) operator, generalized induced ordered weighted averaging (GIOWA) operator, hybrid weighted averaging (HWA) operator, etc., and study their desirable properties. Finally, we briefly classify all of these aggregation operators. © 2003 Wiley Periodicals, Inc.
752 citations
TL;DR: An approach to multiple attribute group decision making with uncertain linguistic information is developed based on the ULOWA and the ULHA operators and a practical application of the developed approach to the problem of evaluating university faculty for tenure and promotion is given.
746 citations
TL;DR: In this state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described.
614 citations