Operational control method, system, and program for switching between multiple decision support modes
The system addresses inflexibility in decision-making support systems by selecting modes based on evaluator conditions and constraints, achieving efficient and stable decision-making with enhanced reproducibility and explainability.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- 望月 浩二
- Filing Date
- 2026-01-06
- Publication Date
- 2026-05-07
AI Technical Summary
Existing decision-making support systems lack flexibility in adapting to changes in evaluator conditions, judgment criteria, or operation purposes, leading to increased oversight and reduced reproducibility and explainability due to fixed search structures and arbitrary mode switching.
A system that selects between high-speed and continuous operation modes based on evaluator criteria, time constraints, and risk indicators, enabling flexible decision-making support tailored to operational conditions.
The system suppresses judgment rigidity and oversight, balancing short-term efficiency with long-term stability, and enhances reproducibility and explainability by switching modes based on clear criteria.
Smart Images

Figure 2026075097000001_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the operation control of a decision-making support system, and relates to a technique for switching a plurality of decision-making support modes according to conditions.
Background Art
[0002] In recent years, decision-making support systems using artificial intelligence have been increasingly used in various fields such as corporate management, research and development, design support, and administrative judgment. These systems aim to generate a plurality of options and judgment materials using search algorithms and inference models, and provide support information for evaluators to make decisions. Conventionally, in such decision-making support systems, techniques for improving the search speed and accuracy have been known, such as parallel processing that increases computing resources and ensemble learning that uses a plurality of models in combination. However, all of these techniques have a fixed search structure and evaluation criteria themselves, and it has been difficult to flexibly respond to changes in the situation of evaluators, judgment criteria, or operation purposes. In addition, when a single decision-making support method is continuously used, although the processing efficiency is improved in the short term, there is a problem that the search results are overly adapted to the preferences of evaluators and past judgment results, resulting in an increase in oversight and rigidity of judgment. On the other hand, even when a plurality of decision-making support methods are used in combination, if the switching is not based on a clear criterion and is carried out personally or arbitrarily, there is a problem that the reproducibility and explainability of the operation are reduced. As described above, there is a need for a systematic and controllable operation technology for appropriately switching the decision-making support method according to operation situations such as evaluator conditions, time constraints, or risk tolerance, but this has not been fully realized in the prior art.
Summary of the Invention
Problems to be Solved by the Invention
[0003] In decision support, the optimal processing method is selected according to the situation. [Means for solving the problem]
[0004] Based on evaluator criteria and constraints, Select either high-speed mode or continuous operation mode. [Effects of the Invention]
[0005] According to the present invention, it is possible to appropriately switch between multiple decision support modes depending on evaluator conditions, time constraints, or risk indicators, thereby suppressing the rigidity of judgment and the increased risk of oversight that may occur when a single decision support method is used continuously. Furthermore, the system enables flexible decision-making support tailored to operational conditions, such as selecting a high-speed mode when short-term decision-making is required and a sustained operation mode when long-term consideration or stability is paramount. As a result, it can achieve both short-term processing efficiency and long-term reliability of decisions. Furthermore, by implementing the switching of decision support modes as operational control based on clear conditions, highly reproducible operation that does not rely on subjective or arbitrary judgments becomes possible, thereby improving the explainability and manageability of the decision support system. Furthermore, since the present invention is not limited to specific algorithms or model configurations, it can be easily applied to existing decision support systems and can be effectively used in a wide range of fields. [Brief explanation of the drawing]
[0006] [Figure 1]This is a block diagram showing the functional configuration of a decision support system according to one embodiment of the present invention, illustrating the relationship between a condition acquisition unit that acquires operating conditions, a mode selection unit that selects a decision support mode based on said operating conditions, and a decision support processing unit that executes decision support processing according to the selected decision support mode. [Modes for carrying out the invention]
[0007] The embodiments for carrying out the present invention will be described below with reference to the drawings. However, the present invention is not limited to the embodiments shown below, and various modifications can be made without departing from its essence. (Embodiment 1) The decision support system according to this embodiment comprises at least a condition acquisition unit, a mode selection unit, and a decision support processing unit. The condition acquisition unit acquires operational conditions for providing decision support. These operational conditions may include evaluator conditions such as the evaluator's judgment criteria, preferences, role, or past decision history; time constraints indicating the time allowed for decision-making; and at least one risk indicator indicating the degree of impact or tolerance for judgment errors. The mode selection unit selects an appropriate mode from among multiple decision support modes based on the operating conditions acquired by the condition acquisition unit. The decision support modes may include a high-speed mode that presents results suitable for the evaluator in a short time, a sustained operation mode that emphasizes exploration diversity and stability, or a mode that combines these. The decision support processing unit executes at least one of the following processes: search processing, inference processing, and result presentation processing, according to the decision support mode selected by the mode selection unit. (Embodiment 2) In the above embodiment 1, the mode selection unit may select a decision support mode based on an evaluation function that weights and evaluates multiple operating conditions, or based on predetermined decision rules. In this case, the importance of each operating condition is set according to the system administrator or the operating policy. (Embodiment 3) In the above embodiment 1 or 2, the decision support processing unit may change the range of the search space, the depth of the search, the constraints on the search path, or the termination conditions of the process depending on the selected decision support mode. (Embodiment 4) The decision support system may be configured as a single information processing device, or it may be configured in a distributed manner using multiple information processing devices connected via a communication network. (Embodiment 5) The present invention may be provided as a computer-executable program, and may be implemented by recording the program on a recording medium or distributing it via a communication network. Execution of the program by a computer realizes an operational control method involving switching between decision support modes according to each of the above embodiments. As described above, the present invention provides a flexible embodiment that switches decision support modes according to operating conditions, enabling decision support that balances short-term efficiency with medium- to long-term stability. [Examples]
[0008] To facilitate understanding of the present invention, specific examples will be described below. These examples are not intended to limit the present invention. [Example 1: Mode switching in tasks requiring short-term decision-making] The present invention was applied to support business decision-making of enterprises. The condition acquisition unit acquired, as operation conditions, that the evaluator is alone, the decision-making deadline is short, and the influence range of decision-making errors is limited. Based on these conditions, the mode selection unit selected the acceleration mode. The decision-making support processing unit executed search processing that restricted the search range to an area where it is easy to conform to the evaluator's conditions, and presented a plurality of decision-making plans in a short time. As a result, the evaluator was able to make a decision quickly within a limited time. [Example 2: Mode switching in operations that require long-term consideration] The present invention was applied to support the selection of R&D themes. The condition acquisition unit acquired that a plurality of evaluators are involved, the study period is long, and the influence of decision-making errors is large. The mode selection unit selected the continuous operation mode. The decision-making support processing unit executed search processing that emphasized search diversity, and presented a plurality of candidate plans that can be compared and considered among evaluators. As a result, it was possible to support decision-making from a medium- to long-term perspective while suppressing the rigidity of decisions. [Example 3: Mode switching during operation] The present invention was applied to support project management. In the initial stage, the acceleration mode was selected because of strict time constraints. After that, the condition acquisition unit detected that the project had entered a stable stage, and the mode selection unit switched to the continuous operation mode. The decision-making support processing unit changed the search conditions according to the mode after switching, and provided decision-making support that emphasized stability. [Example 4: Implementation as a program] A program that realizes the operation control method of the present invention was recorded on a recording medium and executed by an information processing apparatus. By executing the program, condition acquisition, mode selection, and decision-making support processing were automatically performed, and the same effects as the present invention were confirmed in each business system. As is clear from the above examples, according to the present invention, it is possible to switch the decision-making support mode according to the operation situation, and realize decision-making support that balances short-term efficiency and medium- to long-term stability. [Industrial applicability]
[0009] The present invention enables operational control that switches between multiple decision support modes according to evaluator conditions, time constraints, or risk indicators, and is therefore applicable to any industrial field in which artificial intelligence-based decision support systems are used. Specifically, it can be used for strategic planning, investment decisions, and business plan formulation in corporate management; design studies and hypothesis generation in research and development; process design and quality control in manufacturing; operational decision support in the information and communication sector; and policy consideration and decision support in the administrative and public sectors. Furthermore, since the present invention does not depend on specific algorithms, model configurations, or computing resources, it can be incorporated into existing decision support systems and applied to various system configurations such as cloud environments, on-premise environments, and distributed processing environments. Furthermore, it can be used flexibly according to the operational purpose, from tasks requiring short-term decision-making efficiency to those where long-term stability and explainability are important, making it widely applicable in all industries that require decision-making support.
Claims
[Claim 1] A method for controlling the operation of a decision support system that has multiple decision support modes, Based on evaluator criteria, time constraints, or risk indicators, Select at least one of the aforementioned multiple decision support modes, Based on the selected decision support mode Features include a step of executing decision support processing. A method for controlling the operation of a decision support system.