IS THERE ANY OTHER WAYS TO DO "THE TRANSLATION" OF WORDS/SENTENCE INTO NUMERIC VALUES? OTHER THAN SEMANTIC-BREAKDOWN METHOD OF WHAT ALREADY BEEN DESCRIBED

ALTERNATIVE METHODS FOR TRANSLATING WORDS / SENTENCES INTO NUMERIC VALUES

Semantic Breakdown is only one method for translating qualitative words or sentences into numerical values. Several other approaches can be used, depending on what the numerical value is intended to represent.

Qualitative Equation of Impact:
Impact = Severity + Position + Dependency + Connectivity + Consequence

METHOD	BASIC IDEA	EXAMPLE
1. Semantic Breakdown	Break a sentence into meaningful words or components and score each component.	Critical = 5; Failure = 4; Blocks = 5
2. Linguistic Intensity Scaling	Score the strength or intensity of the language.	Minor = 1 → Moderate = 3 → Severe = 5 → Catastrophic = 10
3. Ordinal Rating	Convert qualitative categories into ordered numerical levels.	Low = 1; Medium = 2; High = 3; Extreme = 4
4. Likert-Type Scaling	Measure the degree or intensity of a condition.	Very Low = 1 → Very High = 5
5. Expert Judgment / Delphi	Experts independently assign scores and the results are aggregated.	7 experts rate severity → median = 8/10
6. Pairwise Comparison (AHP)	Compare factors against one another rather than scoring them independently.	Severity is 3× more important than Connectivity
7. Weighted Scoring Model	Assign each dimension a score and an importance weight.	Severity × 30% + Dependency × 20% + ...
8. Fuzzy Logic	Allow a qualitative condition to belong partially to several categories.	High = 0.75; Moderate = 0.25
9. Probability-Based Mapping	Translate qualitative likelihood into probability.	Likely → P = 0.70
10. Frequency Mapping	Translate qualitative frequency into occurrence rates.	Rare = 0.01; Occasional = 0.10; Frequent = 0.50
11. Threshold / Band Mapping	Assign numerical ranges to qualitative categories.	Minor = 0–20; Moderate = 21–50; Major = 51–80
12. Ranking / Relative Position	Assign numerical values according to relative importance.	Most important = 10; least important = 2
13. Vector Representation	Represent one sentence as several numerical dimensions.	Impact = [S, P, D, C, Cn]
14. Graph / Network Scoring	Derive numerical values from relationships between nodes.	Node degree, centrality, dependency count, path length
15. Sentiment / Emotion Scoring	Map linguistic polarity and intensity to numerical values.	Neutral = 0; Negative = −1; Highly Negative = −5
16. Embedding-Based Similarity	Represent language as numerical vectors and compare their meanings mathematically.	Cosine similarity = 0.87
17. Frequency / Corpus-Based Method	Use statistical information about how words occur in a language corpus.	Rare or strongly associated terms receive statistical weights.
18. Rule-Based Scoring	Create explicit rules that map linguistic conditions to numerical values.	If “total loss” appears → Consequence = 10
19. Bayesian Updating	Start with a prior probability or score and update it when new evidence appears.	Prior = 0.30 → evidence → posterior = 0.72
20. Composite Index	Combine several numerical systems into one overall index.	Impact Index = 0.3S + 0.2P + 0.2D + 0.15C + 0.15Cn

THREE DIFFERENT LEVELS OF NUMERICAL TRANSLATION

A. WORD-LEVEL TRANSLATION

The number is assigned directly to the individual word.

“Catastrophic” → 10

B. SENTENCE-LEVEL TRANSLATION

The numerical value represents the overall meaning or intensity of the sentence.

“The failure completely stops production.”
Severity = 9/10
Consequence = 10/10

C. RELATIONSHIP / STRUCTURE-LEVEL TRANSLATION

The numerical value is derived from the relationships described by the sentence.

“Failure of Node A prevents Nodes B, C and D from operating.”
Dependency = 3
Connectivity = 4
Centrality = High
Impact = High

RECOMMENDED MULTI-LAYER METHOD

For the Severity + Position + Dependency + Connectivity + Consequence framework, a multi-layer numerical translation can be used instead of assigning a value to every individual word.

QUALITATIVE STATEMENT:
“A critical upstream failure blocks three downstream processes and causes complete production stoppage.”

STEP 1 — DIMENSION EXTRACTION

• Severity: Critical
• Position: Upstream
• Dependency: 3 downstream processes
• Connectivity: Highly connected
• Consequence: Complete production stoppage

STEP 2 — NUMERICAL CONVERSION

DIMENSION	QUALITATIVE CONDITION	NUMERIC VALUE
Severity	Critical	5 / 5
Position	Upstream / Core	5 / 5
Dependency	3 dependent processes	4 / 5
Connectivity	Highly connected	5 / 5
Consequence	Complete stoppage	5 / 5

STEP 3 — SIMPLE IMPACT SCORE

I = S + P + D + C + Cn

I = 5 + 5 + 4 + 5 + 5

I = 24 / 25

STEP 4 — WEIGHTED IMPACT SCORE

I = 0.30S + 0.15P + 0.20D + 0.15C + 0.20Cn

I = 4.75 / 5

NODE / GRAPH-BASED APPROACH

An even more structural method is to represent the sentence as a Node / Graph instead of translating the individual words.

Failure → Node A → Blocks B, C, D → Production → Total Stoppage

Numerical values can then emerge from the structure of the network:

Impact = f(Node Centrality, Dependency Count, Path Reach, Severity, Consequence)

In this approach, the words describe the system, while the system's structure generates the numerical values.

SUMMARY OF THE DIFFERENT APPROACHES

Semantic Breakdown = What do the words mean?

Intensity Scaling = How strong is the statement?

Ordinal / Likert = What level does it represent?

Weighted Scoring = How important is each dimension?

Fuzzy Logic = How strongly does it belong to each category?

Probability = How likely is it?

Graph / Network Analysis = What does its structural position do?

Embedding / Vectorization = How mathematically similar is its meaning to other statements?

Recommended combination for IMPACT quantification:

Semantic + Intensity + Weighted + Graph / Node-Based Scoring

This combination allows the process to move from:

SENTENCE → MEANING → DIMENSIONS → NUMBERS → NETWORK → IMPACT