THE COMPARISON OF ANN CLASSIFIER TO THE NEURO-FUZZY SYSTEM FOR A COLLUSION DETECTION IN THE TENDER PROCEDURES IN THE ROAD CONSTRUCTION SECTOR

Hubert Jerzy Anysz , Andrzej Olaf Foremny , Janusz Edward Kulejewski

Abstract

As the contracts in the road construction sector in Poland are usually of extremely high value and financed from the state budget, the tender procedures should not allow for the non-concurrent behaviours of tender participants. Otherwise, the clients lose will be of high value too. The database comprising hundreds of bidding procedures in the road construction industry in Poland has been developed. It comprises the tenders’ participants, the locations of the roads sections, bids’ values, the winners, the types of roads. Every procedure has been evaluated and assigned to the set with a given level of collusion occurrence probability. The evaluation has required the analysis and the transformation of – described in the literature – collusive types of behaviours to the parameters of procedures that can be shown as numbers or ranks. Four criteria of a collusion threatened contracts have been chosen and applied for evaluation. Then, two methods of machine learning were applied. The first method was to train an artificial neural network (ANN) to classify the procedures to the aforementioned sets. The other method was to utilize artificial neural networks predictive capabilities enriched by the fuzzy sets theory. The multiple output from ANN was defined as membership function values. The use of the fuzzy sets theory – the process of defuzzification – helps to classify the tender procedures to the sets of different level of risk (of collusion appearance). The results achieved in these two separate processes are compared and discussed. The created tool can be applied for the future tender procedures as a pre-test of a collusion appearance
Author Hubert Jerzy Anysz (FCE / ICE)
Hubert Jerzy Anysz,,
- The Institute of Civil Engineering
, Andrzej Olaf Foremny (FCE / ICE)
Andrzej Olaf Foremny,,
- The Institute of Civil Engineering
, Janusz Edward Kulejewski (FCE / ICE)
Janusz Edward Kulejewski,,
- The Institute of Civil Engineering
Journal seriesIOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, e-ISSN 1757-899X, (0 pkt)
Issue year2019
Vol471
Pages1-8
Publication size in sheets0.5
ConferenceWorld Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium (WMCAUS), 18-06-2018 - 22-06-2018, Prague, Czechy
Keywords in Polishdrogi
Keywords in Englishroad construction
DOIDOI:10.1088/1757-899X/471/11/112064
Languageen angielski
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Anysz_2019_IOP_Conf._Ser.__Mater._Sci._Eng._471_112064.pdf 623.49 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 05-08-2019, ArticleFromConference
Publication indicators Scopus Citations = 0; WoS Citations = 0
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