scholarly journals A novel approach on decision support system based on triangular linguistic cubic fuzzy Dombi aggregation operators

2022 ◽  
Author(s):  
Muhammad Qiyas ◽  
Saleem Abdullah ◽  
Ronnason Chinram ◽  
Muneeza
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Aggregation Operators ◽  
Novel Approach

scholarly journals Decision Support System for Evaluating Suitable Job Applicants

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1773
Author(s):  
Bogdan Walek ◽  
Ondrej Pektor ◽  
Radim Farana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Real Data ◽  
Job Applicants ◽  
Inference System ◽  
Selection Procedures ◽  
Novel Approach ◽  
Fuzzy Expert Systems ◽  
Takagi Sugeno

This paper describes a novel approach in the area of evaluating suitable job applicants for various job positions, and specifies typical areas of requirement and their usage. Requirements for this decision-support system are defined in order to be used in middle-size companies. Suitable tools chosen were fuzzy expert systems, primarily the inference system Takagi-Sugeno type, which were then supplied with implementation of methods of variant multi-criteria analysis. The resulting system is a variable tool with the possibility to simply set the importance of individual selection criteria so that it can be used in various situations, primarily in repeated selection procedures for similar job positions. A strong emphasis is devoted to the explanatory module, which enables the results of the expert system to be used easily. Verification of the system on real data in cooperation with a collaborating company has proved that the system is easily usable.

Supporting the Allocation of Traumatized Patients with a Decision Support System

2013 ◽  
pp. 166-181
Author(s):  
Tim A. Majchrzak ◽  
Oliver Noack ◽  
Philipp Neuhaus ◽  
Frank Ückert
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Medical Staff ◽  
Business Rules ◽  
Novel Approach

In this paper, the authors present a business rules-based decision support system for the allocation of traumatized patients. The assignment of patients to vehicles and hospitals is a task that requires detailed up-to-date information. At the same time, it has to be carried out quickly. The authors propose supporting medical staff with an IT system. The proposed system could be used in cases of mass incidents, as it is problematic, but essential, to provide all injured with adequate healthcare as fast as possible. The contribution is a system based on business rules, which is a novel approach in this context. Its feasibility is proven by prototypic implementation. In this paper, the authors describe the development project’s background as well as the system’s requirements and implementation details. The authors present an exemplary scenario to show the strengths of the proposed approach.

Supporting the Allocation of Traumatized Patients with a Decision Support System

2011 ◽  
Vol 3 (3) ◽  
pp. 36-51 ◽  
Author(s):  
Tim A. Majchrzak ◽  
Oliver Noack ◽  
Philipp Neuhaus ◽  
Frank Ückert
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Medical Staff ◽  
Business Rules ◽  
Novel Approach

In this paper, the authors present a business rules-based decision support system for the allocation of traumatized patients. The assignment of patients to vehicles and hospitals is a task that requires detailed up-to-date information. At the same time, it has to be carried out quickly. The authors propose supporting medical staff with an IT system. The proposed system could be used in cases of mass incidents, as it is problematic, but essential, to provide all injured with adequate healthcare as fast as possible. The contribution is a system based on business rules, which is a novel approach in this context. Its feasibility is proven by prototypic implementation. In this paper, the authors describe the development project’s background as well as the system’s requirements and implementation details. The authors present an exemplary scenario to show the strengths of the proposed approach.

A Decision Support System with EDA_PR Algorithm for the Hot Rolling Scheduling

2013 ◽  
Vol 756-759 ◽  
pp. 4466-4470 ◽  
Author(s):  
Xiao Xia Zhang ◽  
Yun Yong Ma
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Hot Rolling ◽  
Steel Production ◽  
Scheduling Problem ◽  
Hybrid Strategy ◽  
Novel Approach ◽  
Estimation Of Distribution ◽  
Scheduling Method

This paper presents a hybrid algorithm for the hot rolling scheduling problem, which is derived from the actual steel production, and some features make the solution methodology more difficult. The hybrid strategy is based on the solution construction mechanism of estimation of distribution algorithm (EDA) with path relinking (PR), an evolutionary method, which results in a novel approach that we call EDA_PR. Moreover, a decision support system in which the algorithm has been embedded for the hot rolling scheduling is designed. The computational experiments show that the EDA_PR method has more potential for improvement to solve the hot rolling scheduling problem compared with the manual scheduling method.

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