The Experts below are selected from a list of 13068 Experts worldwide ranked by ideXlab platform

Abba Gana Kachalla Ali - One of the best experts on this subject based on the ideXlab platform.

A M Brono - One of the best experts on this subject based on the ideXlab platform.

Serpil Pehlivan - One of the best experts on this subject based on the ideXlab platform.

  • statistical Limit Inferior and Limit superior for sequences of fuzzy numbers
    Fuzzy Sets and Systems, 2006
    Co-Authors: Salih Aytar, Musa Mammadov, Serpil Pehlivan
    Abstract:

    In this paper, we extend the concepts of statistical Limit superior and Limit Inferior (as introduced by Fridy and Orhan [Statistical Limit superior and Limit Inferior, Proc. Amer. Math. Soc. 125 (12) (1997) 3625-3631. [12]]) to statistically bounded sequences of fuzzy numbers and give some fuzzy-analogues of properties of statistical Limit superior and Limit Inferior for sequences of real numbers.

Ingmar Meinecke - One of the best experts on this subject based on the ideXlab platform.

  • weighted automata and weighted mso logics for average and long time behaviors
    Information & Computation, 2012
    Co-Authors: Manfred Droste, Ingmar Meinecke
    Abstract:

    Weighted automata model quantitative aspects of systems like memory or power consumption. Recently, Chatterjee, Doyen, and Henzinger introduced a new kind of weighted automata which compute objectives like the average cost or the long-time peak power consumption. In these automata, operations like average, Limit superior, Limit Inferior, Limit average, or discounting are used to assign values to finite or infinite words. In general, these weighted automata are not semiring weighted anymore. Here, we establish a connection between such new kinds of weighted automata and weighted logics. We show that suitable weighted MSO logics and these new weighted automata are expressively equivalent, both for finite and infinite words. The constructions employed are effective, leading to decidability results for the weighted logic formulas considered.

  • describing average and longtime behavior by weighted mso logics
    Mathematical Foundations of Computer Science, 2010
    Co-Authors: Manfred Droste, Ingmar Meinecke
    Abstract:

    Weighted automata model quantitative aspects of systems like memory or power consumption. Recently, Chatterjee, Doyen, and Henzinger introduced a new kind of weighted automata which compute objectives like the average cost or the longtime peak power consumption. In these automata, operations like average, Limit superior, Limit Inferior, Limit average, or discounting are used to assign values to finite or infinite words. In general, these weighted automata are not semiring weighted anymore. Here, we establish a connection between such new kinds of weighted automata and weighted logics. We show that suitable weighted MSO logics and these new weighted automata are expressively equivalent, both for finite and infinite words. The constructions employed are effective, leading to decidability results for the weighted logic formulas considered.

M Mursaleen - One of the best experts on this subject based on the ideXlab platform.

  • i statistical Limit superior and i statistical Limit Inferior
    Filomat, 2017
    Co-Authors: M Mursaleen, Shyamal Debnath, Debjani Rakshit
    Abstract:

    In this paper we have extended the concepts of I -Limit superior and I -Limit Inferior to I -statistical Limit superior and I -statistical Limit Inferior and studied some of their properties for sequence of real numbers.

  • statistical Limit superior and Limit Inferior in intuitionistic fuzzy normed spaces
    Journal of Inequalities and Applications, 2012
    Co-Authors: Mohammad Ali Alghamdi, Abdullah Alotaibi, Qutubuddin Mohammad Danish Lohani, M Mursaleen
    Abstract:

    Recently, the concepts of statistical convergence, ideal convergence and lacunary statistical convergence have been studied in intuitionistic fuzzy normed spaces. In this article, we study the concepts of statistical Limit superior and statistical Limit Inferior in intuitionistic fuzzy normed spaces. We also give an example to compute these points in intuitionistic fuzzy normed spaces. AMS Subject Classification (2000): 40A05; 40D25; 11B05; 60H10; 60B99; 26A03.

  • statistical Limit superior and Limit Inferior in probabilistic normed spaces
    Filomat, 2011
    Co-Authors: M Mursaleen, Danish Q M Lohani
    Abstract:

    In this paper we study the concept of statistical Limit superior and statistical Limit Inferior in probabilistic normed spaces. Our results are analogous to the results of Fridy and Orhan [Proc. Amer. Math. Soc. 125(1997), 3625-3631] but proofs are somewhat different and interesting. We also demonstrate through an example how to compute these points in PN-spaces.