Two (k + 1)-Decision Selection Procedures for Comparing k Normal Means with a Specified Standard

This paper reviews systematically literature on school leadership in the context of Indonesian education from 2004 to 2019. Its purpose is to investigate major issues which exist in the school leadership practices in Indonesia and propose some sustainable solutions so that educational policymakers, stakeholders and scholars can improve their awareness and knowledge of school leadership. Eight core international EDLM (educational leadership and management) journals were used as the source of the literature. Additionally, a high-quality journal with the indexation of Scopus and Social Sciences Citation Index, Asia Pacific Journal of Education (APJE), was included. The literature search yielded 16 articles that were reviewed. This study reports several crucial issues that need to have serious attention paid to them, including a lack of capacity to lead and manage schools, insufficiency of published studies, and the inappropriateness of principal selection processes. The suggested solutions for these problems consist of developing principal training centres in all the provinces of Indonesia, conducting more collaboration with overseas scholars, and improving principal selection procedures. Contributions for theory, practices and further study are provided.

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Recent results on multi-stage selection procedures

Proceedings of the Seventh Conference on Probability Theory ◽

10.1515/9783112314036-029 ◽

1985 ◽

pp. 259-268

Keyword(s):

Selection Procedures ◽

Multi Stage

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Decision Support System for Evaluating Suitable Job Applicants

Mathematics ◽

10.3390/math9151773 ◽

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.

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