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相关概念视频

Decision Making: P-value Method01:09

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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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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.
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The Anchoring-and-Adjustment Heuristic01:25

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

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Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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Factorial Design02:01

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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基于复杂的T球模糊的弗兰克优先聚合运营商的多属性决策方法.

Muhammad Rizwan Khan1, Kifayat Ullah1, Ali Raza1

  • 1Department of Mathematics, Riphah International University Lahore, Lahore, 54000, Pakistan.

Heliyon
|February 14, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了新的复杂T球模糊聚合运算符 (AO),用于增强不确定性数据处理的优先级. 这些新运算符用于解决多属性决策问题,表现出卓越的性能.

关键词:
聚合运营商是一个聚合运营商.复杂的T球模糊集.决策方式 决策方式弗兰克的t-规范和t-规范.多个属性决策的决策.

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科学领域:

  • 模糊的集合理论 模糊的集合理论
  • 决策科学 决策科学
  • 信息融合 信息融合

背景情况:

  • 现有的模糊集合理论 (IFS,PyFS,q-ROFS,PFS,SFS) 在处理复杂的不确定数据方面存在局限性.
  • 复杂的T球模糊 (TSF) 集为数据聚合提供了一个更普遍的框架.
  • 引入优先级度是为了完善聚合过程.

研究的目的:

  • 开发新的复杂的T球模糊法兰克优先 (CTSFFP) 聚合运营商 (AO).
  • 探索这些新AO的特性,包括idempotency,单调性和局限性.
  • 展示开发的AO在多属性决策 (MADM) 问题的实际应用.

主要方法:

  • 使用Frank t-norm和Frank t-conorm运营法规的CTSFFP聚合运营商的发展.
  • 在复杂的TSF信息环境中解释总和,产品和功率运算.
  • 应用CTSFFP加权平均 (CTSFFPWA) 和CTSFFP加权几何 (CTSFFPWG) 运算符来解决现实生活中的MADM问题.

主要成果:

  • 引入了六个新的CTSFFP AOs:CTSFFPWA,CTSFFPOWA,CTSFFPHWA,CTSFFPWG,CTSFFPOWG,以及CTSFFPHWG. 这些组织包括:
  • 对拟议的AO的基本属性的分析.
  • 在MADM场景中成功应用CTSFFPWA和CTSFFPWG运营商,验证其有效性.

结论:

  • 拟议的CTSFFP AOs提供了一个强大而灵活的工具,用于处理复杂的不确定的信息.
  • 随着优先级度的整合,TSF集合框架在现有的模糊集合结构上提供了优势.
  • 该研究强调了通过与MADM问题的现有方法进行比较,开发的AO的优势.