Fuzzy
Probabilistic values and fuzzy logic operations
Import
_ <- fat.extra.Fuzzy
Constructor
| Name | Signature | Brief |
|---|---|---|
| Fuzzy | (val: Number = 0.5) | Create a Fuzzy probability value |
the range from 0 to 1 is ideal for values, however, higher values can still be meaningful in specific operations like conjunction with values within the standard range
Prototype members
| Name | Signature | Brief |
|---|---|---|
| isEmpty | <> Boolean | Check if probability is zero |
| nonEmpty | <> Boolean | Check if probability is greater than zero |
| size | <> Number | Convert fuzzy value to a percentage scale |
| toText | <> Text | Convert fuzzy value to a textual percentage |
| freeze | <> Void | Make the value immutable |
| and | (other: Fuzzy): Fuzzy | Logical AND operation with another fuzzy value |
| or | (other: Fuzzy): Fuzzy | Logical OR operation with another fuzzy value |
| not | <> Fuzzy | Logical NOT operation, inverting the chance |
| decide | <> Boolean | Decide a boolean outcome within its chance |
Usage
_ <- fat.extra.Fuzzy
# Creating fuzzy instances
lowChance = Fuzzy(0.25) # 25% chance
highChance = Fuzzy(0.75) # 75% chance
# Applying logical operations
combinedChance = lowChance.and(highChance)
resolvedChance = combinedChance.decide # results in a boolean
Inspiration
Introducing the Fuzzy type into FatScript was inspired by the humorous meme language definition, DreamBerd, which offers booleans that can be true, false, or maybe. Here, the maybe keyword translates to Fuzzy().decide, which can be considered an uncommon construct for most programming languages and is analogous to flipping a coin.
Although FatScript is not as esoteric to the extent of storing booleans as "one-and-a-half bits", the concept of providing a "funny" type that allows for modeling uncertainty was an interesting experiment and might actually prove useful in many scenarios. It enhances the language's capabilities to handle operations involving chances and decision-making processes where outcomes are not deterministic. The Fuzzy type is useful for scenarios requiring a nuanced approach to boolean logic, commonly seen in gaming logic, and anywhere probabilistic decisions are needed.