A fuzzy approach for the estimation of foreign investment risk based on values of rating indices

Hašková, Simona; Fiala, Petr

doi:10.1057/s41283-019-00051-1

Cited by 10 publications

(9 citation statements)

References 16 publications

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“…The individual fuzzy approach phases are demonstrated in Fig. 1 and are concisely described as follows (for detailed view see [9]):…”

Section: Methodology: the Introduction To Fuzzy Approachmentioning

confidence: 99%

Fuzzy-based non-bankruptcy trend forecast

Hašková

2022

SHS Web Conf.

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Many companies face an economic downturn due to the Covid-19 pandemic outbreak, which makes their future uncertain. The practical aim of the paper is to establish a procedure for an effective prediction of a business tendency to bankrupt in the short-term period. The tool is a three-stage fuzzy model formulated in the theoreticalmethodological part and applied on the real data of an examined company. The model input parameters are objective and subjective measured data between 2008-2020 of a nature affecting the output. The output is an interval of subjectively expected values determining the non-Bankruptcy trend (non-B) of a company. The paper shows advantages of the interval fuzzy approach for bankruptcy prediction and identifies the measure of business safety.

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“…The individual fuzzy approach phases are demonstrated in Fig. 1 and are concisely described as follows (for detailed view see [9]):…”

Section: Methodology: the Introduction To Fuzzy Approachmentioning

confidence: 99%

Fuzzy-based non-bankruptcy trend forecast

Hašková

2022

SHS Web Conf.

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“…In brief let us describe the set theory as follows (for more details see e.g. [17]): Let the set U be a field of consideration or discussion. Let μA: U → 0,1 be a membership function and let A = {(y, µA(y)): y  U} be a set of all pairs (y, µA(y)) in which the numbers 0 ≤ µA(y) ≤ 1 assign to the given y  U a membership degree of the pair (y, µA(y)) to the set A.…”

Section: Methodology: Brief Introduction To the Fuzzy Approachmentioning

confidence: 99%

Fuzzy Approach to Short-Term Youth Unemployment Forecast

Hašková

2020

SHS Web Conf.

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The practical output of the paper is the prediction of the percentage of the short-term youth unemployment in the following two consecutive years. For this purpose, the non-traditional fuzzy model of the relevant prediction task is formulated in its theoretical-methodological part, which is subsequently applied in the application part. By means of the exact tools of the fuzzy approach (fuzzy sets and inference rules for manipulation with them), the synergy, uncertainty and complexity of the values (terms) of vaguely defined linguistic variables of an economic-psychological nature represented by sets of selected macroeconomic indicators is reflected. Despite the fact that the results of the fuzzy prediction are not significantly different from the results of conventional statistical prediction, the demonstration of the approach of the case of knowledgeable expertise to the choice of the relevant fuzzy sets and the formulation of the set of inference rules can be considered as a secondary benefit.

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“…The degree of membership reflects the extent to which the element is compatible with the support of the fuzzy set. More specifically, as Hašková and Fiala (2019) state: the set U is a field of reasoning or discussion (a universe in consideration), μA: U → 0,1 is a membership function, and A = {(y, µA(y)): y  U} the set of all ordered pairs (y, µA(y)), in which 0 ≤ µA(y) ≤ 1 indicates the membership degree of the pair (y, µA(y)) to the set A on the given y  U. Thus, A is a fuzzy subset of the universe U.…”

Section: Fuzzy Approach In Pv Evaluationmentioning

confidence: 99%

Advantages of fuzzy approach compared to probabilistic approach in project evaluation

Hašková¹,

Šuleř²,

Krulický³

2021

JESI

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Uncertainty is often encountered in relation to randomness or fuzziness. In the case of randomness, it can be described by means of a probability distribution; in the case of fuzziness, the fuzzy theory is applied. In the theoretical part, the authors deal with basic tools for describing both types of uncertainty. Probability and fuzzy method are interpreted in the context of their analogies and principal differences. Both techniques are applied in order to quantify the present expected value of a specific development project. The probabilistic solution leads to the point value E[PV], the fuzzy solution establishes the triangular fuzzy number with the subjective E[PV] not burdened with possible exaggerated expectations. The fuzzy approach proved to extend the probabilistic outcome by other additional information useful for decision-makers with different risk propensity.

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A fuzzy approach for the estimation of foreign investment risk based on values of rating indices

Cited by 10 publications

References 16 publications

Fuzzy-based non-bankruptcy trend forecast

Fuzzy-based non-bankruptcy trend forecast

Fuzzy Approach to Short-Term Youth Unemployment Forecast

Advantages of fuzzy approach compared to probabilistic approach in project evaluation

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