JPH0443460A - Income and expense prediction fuzzy controller for household economy - Google Patents

Abstract

PURPOSE:To obtain a stable income and expense prediction with high reliability by controlling income and expense data of household economy in a control means, outputting the income and expense conditions of appropriate household economy based on a fuzzy rule in a fuzzy inference control means and fuzzy inference-controlling a household economic condition prediction output means with the output. CONSTITUTION:The household conditions prediction output means 14 predicts and outputs subsequent household economic condition in correspondence with the income and expense element of household economy. The control means 21 controls household economy data of an input date, an expense amount, an expense tendency, an income amount and family constitution. The fuzzy inference control means 23 fuzzy inference- controls the household economic conditions prediction output means 14 to the most appropriate household economic condition output value based on a fuzzy rule table 25 storing data on a fuzzy variable which comes to the accurate income and expense amount of household economy under the various conditions. Consequently, the accurate household economic condition can be obtained by adding various income and expense conditions of household economy. Thus, highly reliable and stable income and expense prediction can be obtained.

Description

DETAILED DESCRIPTION OF THE INVENTION (a) Field of Industrial Application This invention relates to a household income and expenditure forecasting fuzzy control device that can accurately predict household income and expenditure status.

(b) Conventional technology In general, when managing household finances, daily household budget data recorded in the household account book is used as a reference, and also experience and intuition are used to predict the future direction of the family's lifestyle according to the income and expenditure situation. are doing.

However, this type of forecasting method has the problem of causing large deficits or surpluses later on, resulting in poor prospects and unstable livelihoods.

(c) Problems to be solved by the invention The purpose of the present invention is to provide a fuzzy control device for predicting household income and expenditures that can accurately predict and manage household income and expenditures and promote stable livelihoods. .

(d) Means for Solving Problems This invention provides a means for predicting and outputting a household budget situation that predicts and outputs a future household budget situation according to income and expenditure factors of the household budget, input date, expenditure amount, expenditure tendency, income amount, and family members. Based on a management means for managing the household budget data and a fuzzy rule containing data of fuzzy variables that provide accurate household income and expenditure amounts under various conditions for the household budget data managed by the above management means,
The present invention is a fuzzy control device for predicting household income and expenditure, comprising fuzzy inference control means for controlling the above-mentioned household financial situation prediction output means by fuzzy inference to the most appropriate household financial situation output value.

(E) Effect of the Invention According to this invention, when predicting the household income and expenditure, the management means manages various household income and expenditure data, and the fuzzy inference control means uses this management element as an antecedent part to accurately predict the income and expenditure of the household. In order to obtain the subject part, the most appropriate household income and expenditure situation based on fuzzy rules is output, and the household financial situation prediction output means is controlled by fuzzy inference using this output.

(f) Effects of the invention As a result, it is possible to accurately predict the income and expenditure situation of the household budget, and to manage future budgets accurately according to the prediction results, thereby achieving optimal expenditure management according to the household budget situation. Since it is possible to obtain an accurate household financial situation by taking into account various household income and expenditure conditions, highly reliable and stable income and expenditure forecasts can be obtained.

(g) Examples An embodiment of the present invention will be described in detail below based on the drawings.

FIG. 1 shows a personal computer 11 that manages household income and expenditure forecasts. The system is equipped with a CRT 14 that displays the following information, and the accurate household financial situation is automatically determined from the household income and expenditure factors inputted through the input key 12 using fuzzy control described later.

FIG. 2 shows a block diagram of a fuzzy inference control circuit for predicting household income and expenditure. Various management data and ROM
According to the program stored in 22, a fuzzy inference engine (hereinafter F
Accurate household budget data corresponding to the household budget situation is output via the IE (referred to as IE) 23, and the necessary control data at this time is sent to the RA.
Store it in M24.

The above-mentioned FIE 23 uses the antecedent parts X1 to X5 (condition parts) as the current management elements obtained from various household management signals inputted through the input key 12, and applies the following information to the current management elements. A fuzzy rule is set in which the output of the correspondingly set household financial situation is the consequent part Yl (conclusion part), and the most appropriate value Z1 is output from the above-mentioned management elements based on the above-mentioned fuzzy rule. The CRT 14 is controlled by fuzzy inference so as to control the output of the optimal household financial situation using the appropriate value Z1.

The above-mentioned fuzzy rules are set according to a predetermined fuzzy rule table 25, and are based on the input level XI of household financial data and the level of expenditure amount X.
l, expenditure tendency degree X3, income amount degree X4,
An appropriate value corresponding to the degree of family structure (antecedent part) and a membership function using fuzzy variables as shown in FIG. 4 (consequent part).

In this membership function, the fuzzy set degree (
Each label (fuzzy value) indicating the grade) is divided into the direction display group of (positive direction P/standard 2) and the direction display group of (large L/
The membership function that is set to display in combination with the degree display group of medium M and small S) and shows the input 8 degree Xl in Figure 3 (a) is: Z: No input data PS/Initial input date PM: Intermediate Input mill PL: represents the final input mill.

The membership functions showing the degree of expenditure amount Xl in FIG. 3 (b) are as follows: Z: No expenditure PS: A small amount of expenditure PM; Some amount of expenditure PL: A considerable amount of expenditure.

The membership functions showing the degree of spending tendency X3 in FIG.

The membership function showing the degree of income amount X4 in FIG. 3(d) is as follows: Z: No income PS: A small amount of income PM: A certain amount of income PL: A considerable amount of income.

The membership function showing the degree of family structure X5 in FIG.

The membership function showing the level of output Yl of the household budget situation in Figure 4 is as follows: 2: PS immediately becomes a deficit: PM becomes a deficit: Maintains equilibrium PL: becomes a surplus.

Furthermore, as an example of the setting of the fuzzy rule table 25 mentioned above, as shown in FIG. (XI = PS), the degree of expenditure amount X2 is also relatively small (X2 = PS), and the degree of expenditure tendency X3 is to some extent (X3 = PM),
There is also a certain amount of income amount X4 (X4 = PM)
, the number of people with a certain degree of family structure X5 (X5 = PM
), the household budget will be in a relatively stable equilibrium state, so the FIE 23 will then display on the CRT 14 that the household budget will be in balance at the end of the month (Yl = PM). .

if XI =PS X2 =PSX3 =
PM X4 = PM ), the expenditure tendency X3 is low (X3 = PS), the income level X4 is a certain amount (X4 = PM), and the family structure X5 is a certain number of people (X5 = PM), then the household income and expenditure is Since the household budget is relatively comfortable, the FIE 23 displays on the CRT 14 that the household budget will be in surplus at the end of the month (Yl = PL).

i f XI = PM X2 = PSX3
=PS X4 =PM X5 =PM then Yl =PL Thus, as shown in the rule (1, 2,...)
Rules are set by making the consequent part of then... correspond to the input of the antecedent part of f... under the conditions of various management data for managing household finances.

The control operation of the household income and expenditure prediction fuzzy control device configured as described above will be explained with reference to the flowchart of FIG.

Now, when using the personal computer 11 to grasp and manage monthly income and expenditure forecasts from current household budget data, first, various household budget data X1 to X5 are input via the input key 12.
(first step nl), based on this input household budget data, FIE 23 calculates the accurate household budget situation according to the income and expenditure level of the household budget and displays it on the CRT.
14, the household budget manager can view the displayed household budget situation, understand and manage the household budget guidelines for the end of the month, and take appropriate measures (second and third steps n2 to n
3).

As mentioned above, since it is possible to accurately predict the income and expenditure situation of the household budget, it is possible to achieve optimal expenditure management according to the household financial situation, such as the ability to accurately manage future budgets according to the results of this prediction. You can obtain highly reliable and stable income and expenditure forecasts that take into account various income and expenditure conditions.

In correspondence between this invention and the configuration of the above-described embodiment, the household financial situation prediction output means of the embodiment
Similarly, the management means corresponds to the CPU 21, and the fuzzy inference control means corresponds to the fuzzy inference engine (FI
E) Corresponding to 23, the present invention is not limited to the configuration of the above-described embodiment.

[Brief explanation of the drawing]

The drawings show one embodiment of the present invention. Fig. 1 is an external perspective view of a personal computer, Fig. 2 is a block diagram of a fuzzy inference control circuit for predicting household income and expenditure, and Fig. 3 (a) is a member showing the input date level. Figure 3 (b) is a membership function diagram that shows the degree of expenditure amount, Figure 3 (c) is a membership function diagram that shows the degree of spending tendency, and Figure 3 (d) shows the degree of income amount. Membership function diagram. Figure 3 (e) is a membership function diagram showing the degree of family structure. Figure 4 is a membership function diagram showing the output level of the household financial situation. Figure 5 is the fuzzy control operation for predicting household income and expenditure. FIG. 11...Personal computer 12 Kawairi Kaki-14
・CRT 21-CP U23...
Fuzzy inference engine (F I E) 25...Fuzzy rule table 11...Harso length combiator Figure 3 (a) Input date N match grass Metsuhashi software leap number diagram (b) 9!, Output 8 amount degree (Pos shows 〆Nkhanonov “Number diagram (C) Expenditures I shoes■ 4th statement, Metsuhashi 1. Bu leap number diagram 〆〆〆11Koni L

Claims (1)

[Claims] (1) A household financial situation prediction output means that predicts and outputs future household financial situation according to household income and expenditure factors, and a management means that manages household financial data of input date, expenditure amount, expenditure trend, income amount, and family composition; Based on the household budget data managed by the management means, the above-mentioned household budget situation prediction output means is used to calculate the most appropriate household budget situation output value based on fuzzy rules containing data of fuzzy variables that provide accurate household income and expenditure amounts under various conditions. A fuzzy control device for predicting household income and expenditure, comprising fuzzy inference control means for performing fuzzy inference control.