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Decision Making: P-value Method01:09

Decision Making: P-value Method

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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...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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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...
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Decision Making01:20

Decision Making

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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...
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Multi-input and Multi-variable systems01:22

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Related Experiment Video

Updated: Sep 22, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Regret-Theoretic Multiattribute Decision-Making Model Using Three-Way Framework in Multiscale Information Systems.

Jiang Deng, Jianming Zhan, Zeshui Xu

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    |May 23, 2022
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    Summary
    This summary is machine-generated.

    This study introduces a novel wide three-way decision (3WD) model for multiscale information systems (MSISs). It addresses limitations of traditional methods by incorporating regret theory, improving decision accuracy and reflecting decision-maker behavior.

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    Area of Science:

    • Decision Sciences
    • Information Systems
    • Computational Intelligence

    Background:

    • Existing multiattribute decision-making (MADM) methods on multiscale information systems (MSISs) often rely on utility theory, leading to rigid classifications and difficulty in reflecting decision-maker risk attitudes.
    • These limitations can result in misclassification and fail to capture the nuanced psychological behaviors of decision-makers.

    Purpose of the Study:

    • To propose a novel wide three-way decision (3WD) model for MSIS that integrates 3WD theory with regret theory.
    • To overcome the shortcomings of existing MADM methods by improving classification accuracy and incorporating decision-maker risk preferences.

    Main Methods:

    • Constructing an outranking relation on the MSIS using the regret-rejoicing index based on regret theory.
    • Classifying objects into three domains using a clustering method.
    • Calculating the ranking of objects within each domain using the relative closeness coefficient.

    Main Results:

    • The proposed 3WD model effectively addresses the limitations of traditional utility-based MADM methods in MSIS.
    • Experimental simulations and comparative analyses demonstrate the model's effectiveness, superiority, and stability.
    • The model accurately classifies objects and better reflects decision-maker behavior and risk attitudes.

    Conclusions:

    • The integrated 3WD and regret theory model offers a more robust and nuanced approach to decision-making in MSIS.
    • This novel model enhances classification accuracy and decision-maker representation compared to existing methods.
    • The study validates the proposed model's practical applicability and effectiveness through empirical testing.