ДІАГНОСТИКА СТАНУ ПІДПРИЄМСТВА З ВИКОРИСТАННЯМ НЕЧІТКОГО АНАЛІЗУ

Abstract

The article develops a methodical approach for assessing the overall state of an enterprise, taking into account the conditions of uncertainty in which it operates. It is based on the application of the strategic diagnostics tools, fuzzy set theory and fuzzy multi-criteria analysis. The article identifies the “state of the enterprise” concept. Diagnostics of the state of the enterprise is divided into two stages namely preliminary analysis of the general state of the enterprise and the stage of the direct assessment. We apply classic methods of strategic analysis and competitive analysis at the stage of preliminary analysis of the general state of the enterprise. The stage of the direct assessment is examined in detail. The study introduces a general algorithm for assessing the overall state of the enterprise by means of the fuzzy set theory tools. The algorithm contains seven stages: Stage 1. Establishing an expert group for assessing the state of the enterprise. Stage 2. Decomposition of the state of the enterprise into local components. Stage 3. Applying the Fuzzy AHP method to determine the importance of local components of the state of the enterprise. Stage 4. Decomposition of each local component of the enterprise’s state into assessment indicators. Stage 5. Applying the Fuzzy AHP method to determine the importance of the assessment indicators. Stage 6. Fuzzy assessment of the state of the enterprise by local components using the Fuzzy SAW method. Stage 7. Calculation of the integral assessment of the state of the enterprise applying the Fuzzy SAW method. The article provides a brief description of each of the above mentioned diagnostic stages. It is emphasized that the state of the enterprise is a multi-vector characteristic of the activity of any enterprise. For assessment, the conditional structure of the state of the enterprise is presented in the form of the local components, on the basis of which it is possible to calculate the integral indicator of the state of the enterprise. Considering the fuzziness of the source data, it is advisable to use expert assessments with their translation into triangular fuzzy numbers for assessing the state of the enterprise based on local components. We suggest applying the Fuzzy AHP method to determine the importance of the local components of the state of the enterprise and their assessment indicators and the Fuzzy SAW method to calculate the integral assessment of the state of the enterprise. Special attention is paid to the issues accompanying the process of assessing the state of the enterprise by means of a fuzzy approach. The results of assessing the state of the enterprise (in dynamics) and their interpretation allows the management of the enterprise to develop recommendations and take measures aimed at improving the local components of the state of the enterprise, and as a result, increase the level of the overall condition of the enterprise.