Assessment of feasibility of projects for creating information and management systems of the electric power complex under conditions of uncertainty

. Evaluating the feasibility of implementing proposed projects for creating information management systems (IMS) for industrial facilities is a complex procedure due to the uncertainty surrounding the accurate data about the prepared project during its implementation. Therefore, the application of decision support methods, based on soft computing and methodology, is deemed appropriate to address the difficulties arising from non-factors (uncertainty, non-determinism) in the evaluation of the implementation of proposed projects for IMS creation. Consequently, the use of non-deterministic interval methods has been proposed for the evaluation of the suitability of project proposals for creating information management systems under conditions of interval non-determinism, highlighting its advantages.


Introduction
The evaluation of projects for creating information management systems (IMS) based on the vector criterion that characterizes the technical, financial, economic, and commercial indicators of existing projects is not sufficient for determining the feasibility of a project; instead, a multi-criteria evaluation considering uncertainty is widely adopted [13].
The analysis of models for the multi-criteria evaluation of alternatives under uncertain conditions indicates that parameter values in the models are often expressed as intervals due to the existence of diverse opinions among project implementers [3].

Materials and methods
The information is expressed in a fuzzy interval, it is appropriate to use the fuzzy-interval method, and its idea can be expressed as follows.
Let's assume that the set of alternative projects Here is the normalized interval coefficient of the relative importance of the j-th special criterion of is to form the scalar interval values of the generalized benefit, which expresses the realization of each j -th alternative of the project preparation from the general alternative, with the possibility of later selection of the acceptable alternative.

Results and Discussion
The generalized scheme of the implementation of this method, which consists of five stages, can be shown as in the following Figure 1. Step 1.
Formulation of project alternatives evaluated with Note that special criteria can be expressed in the form of intervals, fuzzy trapezoidal and triangular numbers [4].
Step 2. Normalization of special criteria for each k-th alternative of project development according to formulas (3) or (4) or (5) ) ( ) ( ) ( j nor i y l [9].   It should be noted that the normalization of specific criteria is necessary because their numerical values differ in the order of units and quantities, which makes working with given criteria even more difficult. Specific criteria can be given as interval or fuzzy LRtype (eg, triangular, trapezoidal) numbers [5].
Step 3: Normalization of relative significant interval coefficients of special criteria .
Here,i w is the interval coefficient of the relative importance of the i -th special criterion presented as intervals, fuzzy triangle and trapezoidal numbers, which can be formed based on the survey of project managers' opinions .
If the normalized relative significant interval coefficient of the i-th special criterion ] , [ Step 5 . Selection of the acceptable design alternative based on the interval value of greatest importance.
It should be noted that if the intervals of special criteria do not intersect, that is, it is possible to compare the intervals among themselves, and if "big" or "small" relationships are possible, then question (2) is correctly set [2]. If condition (2) is not satisfied, then problem (1) is not the only solution and it must be transformed based on the use of additional information beyond the initial problem. In solving multi-criteria optimization problems, the carrier of such information is the project manager, so he makes the decision. Currently, methods are widely used to transform the initial multi-objective optimization problem into a single-objective scalar optimization problem. These methods include the main criterion principle, sequential optimization scheme, analysis of hierarchies, etc. includes [4]. Is Then it is regulated according to the following rule: Note that the above-discussed methods for selecting an acceptable project alternative may yield different results. , which in turn are described by the following three specific criteria:  k 1 -project implementation period, months.  k 2 -project price, thousand manats.  k 3 -cost payback period, months.
The development of the project should be evaluated with the possibility of choosing an acceptable alternative for further implementation.
The calculated values of specific criteria for each alternative are given in the following  [8.5, 9.5, 10] [700, 770, 800] [2.5, 2.9, 3.5] ) 3 ( y [10,11,12] [650, 800, 850] [2, 2.5, 3] Then, the interval coefficients of the relative importance of specific criteria are normalized based on the opinion survey of the project implementers. Relative significant coefficients are known to be in the form of the following fuzzy trapezoidal numbers: In addition, based on relation (6) It is not possible to choose the best alternative according to expression (2) since the intervals of special criteria intersect. In this example, the choice of the best alternative is based on the expected cost: ; The best alternative of project preparation is y (2) -alternative, followed by y (1)alternative.

Conclusion
Based on the comparative analysis of possible alternatives for the preparation of the project under the conditions of uncertainty of the interval of the initial data, a method was proposed to evaluate the feasibility of the projects of creating the IIS using the interval calculator. The evaluation of each alternative for the development of the project consists in the formation of scalar interval values of the generalized benefit. The proposed method allows to choose the most appropriate acceptable alternative for creating an IIS in case of intersection of values of specific criteria for project alternatives.