A Cognitive Fuzzy - Analytic Hierarchy Process and Semantic Reasoning Framework for Human-like Intelligence in HR Performance Evaluation
Abstract
This paper outlines a cognitive reasoning platform which integrates semantic reasoning with fuzzy logic, and the Analytic Hierarchy Process, (AHP) for producing intelligence comparable to human intelligence for making the intricate decisions. By simulating human cognitive processes, it interprets relational hierarchies and synthesizes imprecise assessments into structured metrics, generating autonomous decisions by processing a variety of inputs. Context-aware adaptation that imitates human cognition and the close linkage of computational rigor and semantic reasoning are two important developments. 89% of experimental outcomes match expert evaluations, outperforming conventional techniques. It uses Human Resources (HR) evaluation as the main application context, even though the cognitive reasoning platform is architecturally broad and appropriate for a variety of domains needing structured judgments, such as healthcare triage, project risk analysis, and academic performance review. This explains why HR examples are used frequently in the manuscript as both an instructive use case and a validation area.
Keywords
Sharing System, File System, Performance Evaluation, Fuzzy Mathematics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
O. Kulkarni, S. Gonge, V. Kandi, D. Srilatha, C. Banchhor, S. Dwarkanath Pande, C. Ghuge and D. Dhabliya, "A Cognitive Fuzzy - Analytic Hierarchy Process and Semantic Reasoning Framework for Human-like Intelligence in HR Performance Evaluation ," in Journal of Communications Software and Systems, vol. 22, no. 2, pp. 274-282, June 2026, doi: https://doi.org/10.24138/jcomss-2025-0106
@article{kulkarni2026cognitivefuzzy,
author = {Omkaresh Kulkarni and Sudhanshu Gonge and V. S. Prasad Kandi and Doddi Srilatha and Chitrakant Banchhor and Sandeep Dwarkanath Pande and Chandrashekhar A. Ghuge and Dharmesh Dhabliya},
title = {A Cognitive Fuzzy - Analytic Hierarchy Process and
Semantic Reasoning Framework for Human-like Intelligence in HR Performance Evaluation },
journal = {Journal of Communications Software and Systems},
month = {6},
year = {2026},
volume = {22},
number = {2},
pages = {274--282},
doi = {https://doi.org/10.24138/jcomss-2025-0106},
url = {https://doi.org/https://doi.org/10.24138/jcomss-2025-0106}
}