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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...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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Related Experiment Videos

A decision making algorithm for enhancing consumer value in purchasing behavior based on circular spherical fuzzy

Rui Zhang1, Xiaoshuo Li2, Wenjia Yi2

  • 1Department of Business Administration, School of Business, North Minzu University, Yinchuam, 750021, Ningxia, China. tgzyyx1223@163.com.

Scientific Reports
|May 9, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new hybrid decision-making model using circular spherical fuzzy sets to address uncertainty in consumer purchasing behavior. "Simplifying the Buying Process" emerged as the top strategy for enhancing consumer value.

Keywords:
Circular spherical fuzzy setConsumer decision analysisHybrid decision-making modelsMulti-attributes group decision-makingObjective weighting methodsPurchasing behavior strategies

Related Experiment Videos

Area of Science:

  • Decision Sciences
  • Fuzzy Logic Applications
  • Consumer Behavior Analysis

Background:

  • Consumer value assessment is challenged by decision-maker uncertainty and conflicting opinions.
  • Existing fuzzy and intuitionistic fuzzy models inadequately capture directional uncertainty.
  • Novel approaches are needed to model complex decision-making environments.

Purpose of the Study:

  • To develop a hybrid multi-attribute group decision-making (MAGDM) model for consumer value analysis.
  • To integrate the CRITIC and WASPAS methods within the circular spherical fuzzy set (CSFS) framework.
  • To enhance the representation of uncertainty in decision-making processes.

Main Methods:

  • Proposed a novel MAGDM model combining CRITIC (for attribute weighting) and WASPAS (for ranking) within the CSFS framework.
  • Utilized CSFS to more realistically represent decision-maker uncertainty, including hesitation and directional ambiguity.
  • Applied the model to a hypothetical case study on consumer value in purchasing behavior.

Main Results:

  • The CRITIC-WASPAS model within the CSFS framework demonstrated stability and robustness.
  • Identified "Simplifying the Buying Process" as the optimal strategy for consumer value.
  • Sensitivity and comparative analyses validated the model's effectiveness over existing methods.

Conclusions:

  • The proposed CRITIC-WASPAS model effectively handles complex uncertainties in MAGDM.
  • Offers a more realistic representation of decision-maker hesitation and opinions.
  • Provides valuable decision support for businesses aiming to improve consumer value and guides future MAGDM research.