A fuzzy pay-off method for real option valuation.
Collan, Mikael, Fullér, Robert, Mezei, József (2009)
Journal of Applied Mathematics and Decision Sciences
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Collan, Mikael, Fullér, Robert, Mezei, József (2009)
Journal of Applied Mathematics and Decision Sciences
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Dragan Z. Šaletić, Dušan M. Velašević (2000)
The Yugoslav Journal of Operations Research
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Mahmod Othman, Ku Ruhana Ku-Mahamud, Azuraliza Abu Bakar (2008)
The Yugoslav Journal of Operations Research
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Milanka Gardašević-Filipović, Dragan Z. Šaletić (2010)
The Yugoslav Journal of Operations Research
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Cengiz Kahraman (2001)
International Journal of Applied Mathematics and Computer Science
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The benefit/cost (B/C) ratio method is utilized in many government and public work projects to determine if the expected benefits provide an acceptable return on the estimated investment and costs. Many authors have studied probabilis- tic cash flows in recent years. They introduced some analytical methods which determine the probability distribution function of the net present value and in- ternal rate of return of a series of random discrete cash flows. They considered serially correlated...
Branko Tadić, Danijela Tadić, Nenad Marjanović (2007)
The Yugoslav Journal of Operations Research
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Danijela Tadić (2005)
The Yugoslav Journal of Operations Research
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Vojtěch Sukač, Jana Talašová, Jan Stoklasa (2016)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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The paper introduces a new method of reaching a consensus in multiple criteria group decision-making under fuzziness. This model is based on the general definition of the ‘soft’ consensus introduced by Kacprzyk and Fedrizzi in 1986. The fuzzy evaluations of alternatives express degrees of fulfillment of the given goals by the respective alternatives for each expert. The selection of the best alternative is based on the fuzzy consensus by experts. For this purpose a set of alternatives...
Daniel J. Fonseca, C. L. Guest, Matthew Elam, Charles L. Karr (2005)
Mathware and Soft Computing
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This paper deals with the use of fuzzy set theory as a viable alternative method for modelling and solving the stochastic assembly line balancing problem. Variability and uncertainty in the assembly line balancing problem has traditionally been modelled through the use of statistical distributions. This may not be feasible in cases where no historical data exists. Fuzzy set theory allows for the consideration of the ambiguity involved in assigning processing and cycle times and the uncertainty...
Jiří Močkoř (1997)
Acta Mathematica et Informatica Universitatis Ostraviensis
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Ulrich Bodenhofer, Peter Bauer (2005)
Kybernetika
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This contribution is concerned with the interpretability of fuzzy rule-based systems. While this property is widely considered to be a crucial one in fuzzy rule-based modeling, a more detailed formal investigation of what “interpretability” actually means is not available. So far, interpretability has most often been associated with rather heuristic assumptions about shape and mutual overlapping of fuzzy membership functions. In this paper, we attempt to approach this problem from a...