Spherical fuzzy set :

This guide details the definition of spherical fuzzy set and the operations of spherical fuzzy set. Learn about the SFS membership, non-membership, and hesitancy degrees using a spherical fuzzy set with example for 3D decision coordinates.

Spherical Fuzzy Set (SFS)

Introduction

Spherical Fuzzy Sets (SFS) are a powerful extension of Picture Fuzzy Sets and Pythagorean Fuzzy Sets. They allow decision-makers to define a broader membership domain by mapping the levels of satisfaction, dissatisfaction, and hesitation on a three-dimensional spherical surface. This provides more flexibility in handling uncertainty and imprecision in complex decision-making environments.

Definition of Spherical Fuzzy Set

A Spherical Fuzzy Set S in a universe U is defined by three functions: membership (μ), non-membership (ν), and hesitancy (π). It is expressed as:

S = { <x, μS(x), νS(x), πS(x)> | x ∈ U }

Subject to the spherical constraint:

0 ≤ μS2(x) + νS2(x) + πS2(x) ≤ 1

Spherical Fuzzy Number (SFN)

A Spherical Fuzzy Number is represented as a triple α = (μ, ν, π). Unlike traditional fuzzy sets, the sum of the squares of these three parameters must not exceed 1, allowing the values to occupy a larger space (a sphere) compared to Intuitionistic or Pythagorean sets.

Operations & Examples

Let α₁ = (μ₁, ν₁, π₁) and α₂ = (μ₂, ν₂, π₂) be two SFNs. Basic operations include:

  • 1. Addition (⊕):
    α₁ ⊕ α₂ = [√(μ₁² + μ₂² – μ₁²μ₂²), ν₁ν₂, √((1-μ₂²)π₁² + (1-μ₁²)π₂² – π₁²π₂²)]
  • 2. Multiplication (⊗):
    α₁ ⊗ α₂ = [μ₁μ₂, √(ν₁² + ν₂² – ν₁²ν₂²), √((1-ν₂²)π₁² + (1-ν₁²)π₂² – π₁²π₂²)]
Example:
If α₁ = (0.5, 0.4, 0.3) and α₂ = (0.4, 0.3, 0.2):
Check Constraint: 0.5² + 0.4² + 0.3² = 0.25 + 0.16 + 0.09 = 0.50 (≤ 1)
Addition Result: μsum = √(0.5² + 0.4² – 0.5²*0.4²) = √(0.25 + 0.16 – 0.04) = √0.37 ≈ 0.608

Spherical Fuzzy Set (SFS)

Introduction

Spherical Fuzzy Sets (SFS) are a powerful extension of Picture Fuzzy Sets and Pythagorean Fuzzy Sets. They allow decision-makers to define a broader membership domain by mapping the levels of satisfaction, dissatisfaction, and hesitation on a three-dimensional spherical surface. This provides more flexibility in handling uncertainty and imprecision in complex decision-making environments.

Definition of Spherical Fuzzy Set

A Spherical Fuzzy Set S in a universe U is defined by three functions: membership (μ), non-membership (ν), and hesitancy (π). It is expressed as:

S = { <x, μS(x), νS(x), πS(x)> | x ∈ U }

Subject to the spherical constraint:

0 ≤ μS2(x) + νS2(x) + πS2(x) ≤ 1

Spherical Fuzzy Number (SFN)

A Spherical Fuzzy Number is represented as a triple α = (μ, ν, π). Unlike traditional fuzzy sets, the sum of the squares of these three parameters must not exceed 1, allowing the values to occupy a larger space (a sphere) compared to Intuitionistic or Pythagorean sets.

Operations & Examples

Let α₁ = (μ₁, ν₁, π₁) and α₂ = (μ₂, ν₂, π₂) be two SFNs. Basic operations include:

  • 1. Addition (⊕):
    α₁ ⊕ α₂ = [√(μ₁² + μ₂² – μ₁²μ₂²), ν₁ν₂, √((1-μ₂²)π₁² + (1-μ₁²)π₂² – π₁²π₂²)]
  • 2. Multiplication (⊗):
    α₁ ⊗ α₂ = [μ₁μ₂, √(ν₁² + ν₂² – ν₁²ν₂²), √((1-ν₂²)π₁² + (1-ν₁²)π₂² – π₁²π₂²)]
Example:
If α₁ = (0.5, 0.4, 0.3) and α₂ = (0.4, 0.3, 0.2):
Check Constraint: 0.5² + 0.4² + 0.3² = 0.25 + 0.16 + 0.09 = 0.50 (≤ 1)
Addition Result: μsum = √(0.5² + 0.4² – 0.5²*0.4²) = √(0.25 + 0.16 – 0.04) = √0.37 ≈ 0.608
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