Increasingly heterogeneous ages at first birth by education in Southern European and Anglo-American family-policy regimes: A seven-country comparison by birth cohort
Population Studies, 64(3), pp. 209-227, 2010
Education and childlessness: the relationship between educational field, educational level, employment and childlessness among Greek women born in 1955-1959
Vienna Yearbook of Population Research, 8 pp.51-75, 2010
Native and Migrant Fertility Patterns in Greece: A Cohort Approach
European Journal of Population, 24(3), pp.245-263, 2008
Migrant and Non-migrant Fertility in Greece: Results Based on the 2001 Population Census
Migration Letters, 4(2), pp.51-62, 2007
Rate of convergence, asymptotically attainable structures and sensitivity in non-homogeneous Markov systems with fuzzy states
@article{SYMEONAKI2006143,
title = "Rate of convergence, asymptotically attainable structures and sensitivity in non-homogeneous Markov systems with fuzzy states",
journal = "Fuzzy Sets and Systems",
volume = "157",
number = "1",
pages = "143 - 159",
year = "2006",
issn = "0165-0114",
doi = "https://doi.org/10.1016/j.fss.2005.04.011",
url = "http://www.sciencedirect.com/science/article/pii/S0165011405001697",
author = "M.A. Symeonaki and G.B. Stamou",
keywords = "Markov systems, Fuzzy set theory, Asymptotic behavior, Fuzzy probability, Fuzzy dynamical systems",
abstract = "This paper is concerned with the rate of convergence, the asymptotically attainable structures and the sensitivity of a non-homogeneous Markov system (NHMS, in short) with fuzzy states. More specifically, it is proved that under some realistic assumptions easily met in practice, the convergence rate of the relative population structure to its limit is geometric. Furthermore, the asymptotically attainable structures in a NHMS with fuzzy states are given. More precisely, the problem of finding which states are possible as limiting ones in a NHMS with fuzzy states is studied, provided that the limit of the sequence of the input probability vectors is controlled. Moreover, the sensitivity of the limiting expected population structure on perturbations of the limiting input probabilities for the system is also studied. Two applications (in Cognitive Science and in Manpower Planning) are given, where the sensitivity of two NHMS with three states is studied, provided that the limiting input probability vector is perturbed."
}
title = "Rate of convergence, asymptotically attainable structures and sensitivity in non-homogeneous Markov systems with fuzzy states",
journal = "Fuzzy Sets and Systems",
volume = "157",
number = "1",
pages = "143 - 159",
year = "2006",
issn = "0165-0114",
doi = "https://doi.org/10.1016/j.fss.2005.04.011",
url = "http://www.sciencedirect.com/science/article/pii/S0165011405001697",
author = "M.A. Symeonaki and G.B. Stamou",
keywords = "Markov systems, Fuzzy set theory, Asymptotic behavior, Fuzzy probability, Fuzzy dynamical systems",
abstract = "This paper is concerned with the rate of convergence, the asymptotically attainable structures and the sensitivity of a non-homogeneous Markov system (NHMS, in short) with fuzzy states. More specifically, it is proved that under some realistic assumptions easily met in practice, the convergence rate of the relative population structure to its limit is geometric. Furthermore, the asymptotically attainable structures in a NHMS with fuzzy states are given. More precisely, the problem of finding which states are possible as limiting ones in a NHMS with fuzzy states is studied, provided that the limit of the sequence of the input probability vectors is controlled. Moreover, the sensitivity of the limiting expected population structure on perturbations of the limiting input probabilities for the system is also studied. Two applications (in Cognitive Science and in Manpower Planning) are given, where the sensitivity of two NHMS with three states is studied, provided that the limiting input probability vector is perturbed."
}
Theory of Markov systems with fuzzy states
@article{SYMEONAKI2004427,
title = "Theory of Markov systems with fuzzy states",
journal = "Fuzzy Sets and Systems",
volume = "143",
number = "3",
pages = "427 - 445",
year = "2004",
issn = "0165-0114",
doi = "https://doi.org/10.1016/S0165-0114(03)00016-2",
url = "http://www.sciencedirect.com/science/article/pii/S0165011403000162",
author = "M.A. Symeonaki and G.B. Stamou",
keywords = "Fuzzy system models, Decision analysis, Fuzzy dynamical systems, Markov models",
abstract = "In this paper the theory of fuzzy logic is combined with the theory of Markov systems and the concept of a Markov system with fuzzy states is introduced for the first time. The main objective is to develop a methodology of describing a Markov population system with fuzzy states. This is an effort to deal with the fact that in real applications one is often faced with fuzzy states. This paper investigates the properties of a Markov system with states that have imprecise boundaries. A full description of a nonhomogeneous Markov system with fuzzy states is outlined and the basic parameters of the system are provided. More specifically, the expected population structure of the system is found and given in a closed analytic form and the asymptotic behaviour of the system is provided under the more realistic assumption of a fuzzy set space."
}
title = "Theory of Markov systems with fuzzy states",
journal = "Fuzzy Sets and Systems",
volume = "143",
number = "3",
pages = "427 - 445",
year = "2004",
issn = "0165-0114",
doi = "https://doi.org/10.1016/S0165-0114(03)00016-2",
url = "http://www.sciencedirect.com/science/article/pii/S0165011403000162",
author = "M.A. Symeonaki and G.B. Stamou",
keywords = "Fuzzy system models, Decision analysis, Fuzzy dynamical systems, Markov models",
abstract = "In this paper the theory of fuzzy logic is combined with the theory of Markov systems and the concept of a Markov system with fuzzy states is introduced for the first time. The main objective is to develop a methodology of describing a Markov population system with fuzzy states. This is an effort to deal with the fact that in real applications one is often faced with fuzzy states. This paper investigates the properties of a Markov system with states that have imprecise boundaries. A full description of a nonhomogeneous Markov system with fuzzy states is outlined and the basic parameters of the system are provided. More specifically, the expected population structure of the system is found and given in a closed analytic form and the asymptotic behaviour of the system is provided under the more realistic assumption of a fuzzy set space."
}