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Azerbaijan State Oil Academy ) is an institution in Baku, Azerbaijan. Wikipedia.

Abdulagatov I.M.,Russian Academy of Sciences | Azizov N.D.,Azerbaijan State Oil Academy
Fuel | Year: 2011

Isobaric heat capacity of rocket propellant (RP-1 fuel) has been measured with a vacuum adiabatic calorimeter immersed in a precision liquid thermostat. Measurements were made in the temperature range from 293 to 671 K and at pressures up to 60 MPa. The uncertainty of heat capacity, pressure, and temperature measurements were estimated to be 2-2.5%, 0.05%, and 15 mK, respectively. The measured values of heat capacity were compared with the values calculated from a surrogate mixture model (equation of state, EOS). The average absolute deviation (AAD) between the present data and the values calculated with EOS was 0.81%. © 2010 Elsevier Ltd. All rights reserved. Source

Aliev R.A.,Joint MBA Program United States | Zeinalova L.M.,Azerbaijan State Oil Academy
Studies in Computational Intelligence | Year: 2014

Rational decisions are based on information usually uncertain, imprecise and incomplete. The existing decision theories deal with three levels of generalization of decision making relevant information: numerical valuation, interval valuation and fuzzy number valuation. The classical decision theories, such as expected utility theory proposed by von Neumann and Morgenstern, and subjective expected utility theory proposed by Savage use the first level of generalization, i.e. numerical one. These approaches require that the objective probabilities or subjective probabilities and utility values be precisely known. But in real world in many cases it becomes impossible to determine the precise values of needed information. Interval analysis and classical fuzzy set theories have been applied in making decisions and many fruitful results have been achieved. But a problem is that in the mentioned above decision theories the reliability of the decision relevant information is not well taken into consideration. Prof. L. Zadeh introduced the concept of Z-numbers to describe the uncertain information which is more generalized notion closely related with confidence (reliability). Use of Z-information is more adequate and intuitively meaningful for formalizing information structure of a decision making problem. In this chapter we consider two approaches to decision making with Z-information. The first approach is based on reducing of Z-numbers to classical fuzzy numbers, and generalization of expected utility approach and use of Choquet integral with an integrant represented by Z-numbers. A fuzzy measure is calculated on a base of a given Z-information. The second approach is based on direct computation with Z-numbers. To illustrate a validity of suggested approaches to decision making with Z-information the numerical examples are used. © 2014 Springer-Verlag Berlin Heidelberg. Source

Abdulagatov I.M.,Russian Academy of Sciences | Azizov N.D.,Azerbaijan State Oil Academy
Journal of Chemical Thermodynamics | Year: 2014

Densities of (water + 1-propanol) mixtures have been measured over the temperature range from 298 K to 582 K and at pressures up to 40 MPa using the constant-volume piezometer immersed in a precision liquid thermostat. The measurements were made for six compositions of (0.869, 2.465, 2.531, 7.407, 14.377, and 56.348) mol · kg-1 of 1-propanol. The expanded uncertainty of the density, pressure, temperature, and concentration measurements at the 95% confidence level with a coverage factor of k = 2 is estimated to be 0.06%, 0.05%, 15 mK, and 0.015%, respectively. The derived volumetric properties such as excess (VmE), apparent (VΦ), and partial (V̄2) molar volumes were calculated using the measured values of density for the mixture and for pure components (water and 1-propanol). The concentration dependences of the apparent molar volumes were extrapolated to zero concentration to yield the partial molar volumes of 1-propanol at infinite dilution (V̄2). The temperature, pressure, and concentration dependence of density and derived properties of the mixture were studied. All experimental and derived properties (excess, apparent, and partial molar volumes) were compared with the reported data by other authors. The small and negative values of excess molar volume for the mixtures were found at all experimental temperatures, pressures, and over the entire concentration range. The excess molar volume minimum is found at concentration about 0.4 mole fraction of 1-propanol. The concentration minimum of the derived apparent molar volumes VΦ near the 2.5 mol · kg-1 (dilute mixture) was observed. © 2013 Elsevier Ltd. All rights reserved. Source

Ibragimov N.Y.,Azerbaijan State Oil Academy
Chemical and Petroleum Engineering | Year: 2016

The influence of temperature drops on the stability of the silicate coating of a pipe is investigated. Formulas for use in calculating the heat resistance of a coating are presented. © 2016 Springer Science+Business Media New York Source

Aliev R.A.,Joint MBA Program | Alizadeh A.V.,Azerbaijan University | Huseynov O.H.,Azerbaijan State Oil Academy
Information Sciences | Year: 2015

Real-world information is imperfect and is usually described in natural language (NL). Moreover, this information is often partially reliable and a degree of reliability is also expressed in NL. In view of this, L.A. Zadeh suggested the concept of a Z-number as a more adequate concept for description of real-world information. A Z-number is an ordered pair Z = (A; B) of fuzzy numbers A and B used to describe a value of a random variable X, where A is an imprecise estimation of a value of X and B is an imprecise estimation of reliability of A. The main critical problem that naturally arises in processing Z-numbers-based information is computation with Z-numbers. The general ideas underlying computation with continuous Z-numbers (Z-numbers with continuous components) is suggested by the author of the Z-number concept. However, as he mentions, "Problems involving computation with Z-numbers is easy to state but far from easy to solve". Nowadays there is no arithmetic of Z-numbers suggested in the existing literature. Taking into account the fact that real problems are characterized by linguistic information which is, as a rule, described by a discrete set of meaningful linguistic terms, in our study we consider discrete Z-numbers. We suggest theoretical aspects of such arithmetic operations over discrete Z-numbers as addition, subtraction, multiplication, division, square root of a Z-number and other operations. The validity of the suggested approach is demonstrated by a series of numerical examples. © 2014 Elsevier Inc. All rights reserved. Source

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