The Absorption Problem in Software-Planning Assessment: A Single-Valued Neutrosophic Model with Deferral

Authors

• Angela Olivia Yanza Montalvan, Universidad de Guayaquil, Facultad de Ciencias Matematicas y Fisicas
• Omar Mar Cornelio, Universidad de las Ciencias Informaticas (UCI)

Abstract

Planning the software production process is a knowledge-intensive activity whose assessment relies on expert, linguistic and frequently conflicting indicators. Deterministic and fuzzy models compress each assessment into a single membership value and therefore cannot distinguish ignorance from contradiction. We formalise this Absorption Problem and propose a Single-Valued Neutrosophic (SVN) model that represents each indicator as a truth-indeterminacy-falsity triple, aggregates them with an SVN weighted average under AHP-derived weights, computes a structural-indeterminacy operator from inter-indicator disagreement, and applies a deferral rule that routes high-indeterminacy projects to expert review. On a real project-management dataset (n = 199), gating on structural indeterminacy raises the reliability of the auto-decided segment from 73.9% to 97.7%.

Recommended Citation

Yanza Montalvan, Angela Olivia and Omar Mar Cornelio. "The Absorption Problem in Software-Planning Assessment: A Single-Valued Neutrosophic Model with Deferral." Neutrosophic Sets and Systems 101, 1 (2026). https://digitalrepository.unm.edu/nss_journal/vol101/iss1/8