Results 11 to 20 of about 57,111 (311)

NEW INVESTMENT DECISION-MAKING TOOL THAT COMBINES A FUZZY INFERENCE SYSTEM WITH REAL OPTION ANALYSIS [PDF]

open access: yesFUZZY ECONOMIC REVIEW, 2018
This paper proposes a new procedure for enriching investment and real option analysis performed with the fuzzy pay-off method by decomposing the pay-off distribution into multiple sub-distributions that correspond to different investment scenarios.
Kozlova Mariia   +2 more
openaire   +5 more sources

STRATEGIC ANALYSIS OF FOREST INVESTMENTS USING REAL OPTION: THE FUZZY PAY-OFF MODEL (FPOM) [PDF]

open access: yesFUZZY ECONOMIC REVIEW, 2014
This paper introduces a fuzzy forestry investment decision-making tool based. It will be applied to choose optimal levels of investment when three possible scenarios are conceived, a base case and two extreme alternatives: optimistic and pessimistic. Decision-makers can be seen as being either owners of a forest or investors.
Milanesi, Gastón   +3 more
openaire   +4 more sources

Fuzzy TOPSIS Reinvented: Retaining Linguistic Information Through Interval-Valued Analysis [PDF]

open access: yesMathematics
In real-world decision-making situations, experts often rely on subjective and imprecise judgments, frequently expressed using linguistic terms. While fuzzy logic offers a valuable tool to capture and process such uncertainty, traditional methods often ...
Abdolhanan Aminoroaya   +3 more
doaj   +2 more sources

Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]

open access: yes, 2006
A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen   +3 more
core   +1 more source

Double-uncertainty optimal operation of hybrid AC/DC microgrids with high proportion of intermittent energy sources

open access: yesJournal of Modern Power Systems and Clean Energy, 2017
This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI   +3 more
doaj   +1 more source

Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]

open access: yes, 2007
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen   +5 more
core   +1 more source

An outlier–robust neuro–fuzzy system for classification and regression

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2021
Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
doaj   +1 more source

Study of Fuzzy σ-Ring  and Some Related Concepts

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2022
This paper introduces the concept of fuzzy σ-ring as a generalization of fuzzy σ-algebra and basic properties; examples of this concept have been given.
Ibrahim S Ahmed   +2 more
doaj   +1 more source

Basic fuzzy arithmetic operations using α–cut for the gaussian membership function [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2022
Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian
Leonce Leandry   +2 more
doaj   +1 more source

Fuzzy Real Option Analysis for IT Investment in Nuclear Power Station [PDF]

open access: yes, 2007
This paper develops a comprehensive but simple methodology to valuate information technology investment in a nuclear power station based on fuzzy risk analysis and real option approach. By linking the variability of expected payoffs to specific sources of risk factors, this method could help decision makers achieve a more reliable valuation of the ...
Tao Chen   +3 more
openaire   +1 more source

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