Pyryaev V.V., Volgina S.V.Published in:
Russian Journal of Labor Economics
– Volume 6, Number 2 (April-June 2019)

JEL classification: J40, J49, J89

Keywords: driver selection, fuzzy sets theory, road safety


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Abstract:

The task of selecting drivers is formulated, taking into account the impact on the road safety of their individual psychological and psycho-physiological qualities. The research methods of professional features of drivers analyzed. The necessity of using the methods of the theory of fuzzy sets when establishing a generalizing indicator of professional features of drivers is shown. The choice of research method based on the theory of fuzzy sets has been made. A comparative example shows the feasibility of using the fuzzy set theory method when selecting drivers according to their professional features

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References:
(2018). Rossiya v tsifrakh [Russia in figures] (in Russian).
Borisov A.N. (1990). Prinyatie resheniy na osnove nechetkikh modeley: Primery ispolzovaniya [Decision making based on fuzzy models: Examples of use] (in Russian).
Borisova S.A. (2011). Vliyanie psikhologicheskikh ustanovok voditeley na bezopasnost dorozhnogo dvizheniya [The impact of attitudinal drivers on road safety]. Psikhologiya i pravo. (4). 88-98. (in Russian).
Klebelsberg D. (1989). Transportnaya psikhologiya [Transport psychology] (in Russian).
Lobanova Yu.I. (2015). Stil vozhdeniya: opredelyayuschie faktory, kharakteristiki, napravleniya optisizatsii [Driving style: determinants, characteristics, direction of optimizacii]. Rossiyskiy gumanitarnyy zhurnal. (1). 76-84. (in Russian).
Pegin P.A. (2014). Avtotransportnaya psikhologiya [Motor psychology] (in Russian).
Petrov V.E. (2016). Psikhologicheski znachimye faktory, opredelyayuschie stil upravleniya transportnym sredstvom [Psychologically relevant factors determining the management style of the vehicle]. Modern scientific researches and innovations. (1). 215-221. (in Russian).
Pospelov D.A. (1986). Nechetkie mnozhestva v modelyakh upravleniya i iskusstvennogo intellekta [Fuzzy sets in management models and artificial intelligence] (in Russian).
Pyryaev V.V. (2018). Protsess razrabotki, prinyatiya i realizatsii upravlencheskikh resheniy pri integratsii kultury, psikhologii, logiki [The process of development, adoption and implementation of managerial decisions with the integration of culture, psychology, logic] (in Russian).
Pyryaev V.V. (2006). Metodicheskoe i programmnoe obespechenie postroeniya funktsiy prinadlezhnosti dlya nechetkikh mnozhestv bez izmerimyh elementarnyh svoystv [Methodical and the software of the construction of membership functions for fuzzy sets without measurable basic properties]. Izvestiya vysshikh uchebnyh zavedeniy. Sev.-Kavk. region: Tekhnicheskie nauki. (7). 119 -125. (in Russian).
Ryzhkina E.S. (2013). Individualnye kachestva voditelya i bezopasnost dorozhnogo dvizheniya [Individual characteristics of vehicle drivers and road safety]. Avtomobilnaya promyshlennost. (12). 20-22. (in Russian).
Travkin S.I. (1986). Nechetkie mnozhestva i teoriya vozmozhnostey: poslednie dostizheniya [Fuzzy sets and theory of possibilities: the latest advances] (in Russian).
Zade L. (1976). Ponyatie lingvisticheskoy peremennoy i ego primenenie k ponyatiyu priblizhennyh resheniy [The concept of a linguistic variable and its application to the concept of approximate solutions] (in Russian).
Zakharov V.A. (2006). O vybore metodov postroeniya funktsiy prinadlezhnosti dlya formalizatsii zadach prinyatiya resheniy [On the choice of methods to construct membership functions for the formalization of decision-making problems] (in Russian).