Skip to contentScholarGate
LibraryBookshelfDeskReview StudioAssistant
Sign in
On this page
IntuitionHow it worksWhen to use itStrengths & limitationsCommon pitfalls🔒 Read the full methodSourcesRelated methods
Cite this pageSpotted an issue on this page? Report or suggest a fix →
Home›Decision-making›Neutrosophic extension of RAFSI
MCDMRankingSingle valued neutrosophic

Neutrosophic extension of RAFSI

N-RAFSI (Neutrosophic extension of RAFSI) is a ranking multi-criteria decision-making (MCDM) method introduced by UNCONFIRMED — Irvanizam & Zahara 2024 uses SVTraNN (trapezoidal), not SVNN. No SVN-RAFSI paper found. in undated — internal extension, no dedicated SVN-RAFSI paper. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

ScholarGate
  1. MCDM
  2. v1
  3. 1 Sources
  4. PUBLISHED
Cite this page →
Tools & resources
Download slides
Learn & explore

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Method map

The neighbourhood of related methods — select a node to explore.

N-RAFSI
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

When to use it

n-rafsi extends RAFSI to handle Neutrosophic uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) algebra. The final scores are defuzzified via score function S = (T − F + 1)/2 before ranking.

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  1. (). N-RAFSI — Internal Extension (no SVN-RAFSI paper in literature). link ↗

How to cite this page

ScholarGate. (2026, June 2). Neutrosophic extension of RAFSI. ScholarGate. https://scholargate.app/en/decision-making/n-rafsi

Related methods

AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

  • AHPDecision-making↔ compare
  • ANPDecision-making↔ compare
  • BWMDecision-making↔ compare
  • BWM-BAYESIANDecision-making↔ compare
  • CCSDDecision-making↔ compare
  • CILOSDecision-making↔ compare
  • CIMASDecision-making↔ compare
  • CRITICDecision-making↔ compare
Compare side by side →

Similar methods

N-RAWECN-TOPSISFUZZY-RAFSIP-RAFSIN-MOORAN-VIKORN-CODASN-GRA

Related reference concepts

Decision MakingDecision Support SystemsCriteria for Decision-Making under Risk and UncertaintyNewton-Raphson and Scoring MethodsEvaluation CriteriaWeighted Scores

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — N-RAFSI (Neutrosophic extension of RAFSI). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/n-rafsi · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
UNCONFIRMED — Irvanizam & Zahara 2024 uses SVTraNN (trapezoidal), not SVNN. No SVN-RAFSI paper found.
Subfamily
Ranking
Year
undated — internal extension, no dedicated SVN-RAFSI paper
Type
Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)
Value Space
Single valued neutrosophic
Uncertainty
hybrid
Compensation
full
Rank Reversal
No
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
ScholarGate

A content-first reference library for research methods — what each one is, how it works, and where it comes from.

Open data (CC-BY)

Explore

  • Library
  • Search the library…
  • Browse by field
  • Fields
  • Journey
  • Compare
  • Which method?

Reference

  • Subjects
  • Atlas
  • Glossary
  • Methodology
  • Philosophy

Your tools

  • Bookshelf
  • Desk
  • Chat

Company

  • About
  • Pricing
  • Contact
  • Suggest a method

Entries are compiled from published sources for reference. Verifying the accuracy and suitability of any information for your own use remains your responsibility.

© 2026 ScholarGate · A research-method reference library
  • Privacy
  • Cookies
  • Terms
  • Delete account