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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...

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Related Experiment Videos

A complex Fermatean fuzzy FUCA based decision framework with priority degrees for evaluating sports exercise training

Daliang Zhou1, Fei Xu2, Qian Lian1

  • 1School of P.E., Nanjing XiaoZhuang University, Nanjing, 210000, Jiangsu, China.

Scientific Reports
|July 1, 2026
PubMed
Summary

This study introduces a new Complex Fermatean Fuzzy Faire Un Choix Adequate (CFF-FUCA) method for evaluating sports training programs. The CFF-FUCA methodology effectively ranks programs, identifying Speed and Agility and Recovery and Mobility as top choices.

Keywords:
Complex Fermatean fuzzy setsDecision-makingFUCA methodPriority degreesSports exercise training evaluationUncertain decision analysis

Related Experiment Videos

Area of Science:

  • Sports Science
  • Decision Analysis
  • Fuzzy Set Theory

Background:

  • Sports exercise program assessment is a complex multi-criteria decision-making (MCDM) challenge.
  • Uncertainty, ambiguity, and expert reluctance complicate traditional evaluation methods.

Purpose of the Study:

  • To introduce a novel Complex Fermatean Fuzzy Faire Un Choix Adequate (CFF-FUCA) methodology.
  • To address uncertainty and expert reluctance in sports training program assessment.
  • To integrate Complex Fermatean Fuzzy Sets (CFFS) with the FUCA method, considering criteria and decision-maker priorities.

Main Methods:

  • Developed the CFF-FUCA methodology by combining CFFS and the FUCA method.
  • Applied the framework to rank fifteen sports training programs based on seven criteria evaluated by four experts.
  • Utilized sensitivity analysis and benchmark comparisons for validation.

Main Results:

  • The CFF-FUCA methodology produced powerful, interpretative, and discriminative rankings.
  • The Speed and Agility Program and the Recovery and Mobility Program were identified as the best programs.
  • CFF-FUCA demonstrated superiority over existing CFF-based and classical MCDM techniques in ranking stability and discrimination.

Conclusions:

  • The CFF-FUCA framework is an effective, valid, and realistic tool for sports training evaluation.
  • It generates consistent and discriminative rankings, effectively modeling expert uncertainty and priorities.
  • The framework supports evidence-based decision-making for coaches and managers to optimize training and minimize risks.