The application of fuzzy analytic hierarchy process (FAHP) approach to solve multi-criteria decision making (MCDM) problems

Mahad, Nor Faradilah; Yusof, NMohamed; Ismail, Nik Fasdi Nik

doi:10.1088/1742-6596/1358/1/012081

Cited by 18 publications

(10 citation statements)

References 17 publications

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“…In the second stage, the fuzzified weights for each criterion were evaluated using the F-AHP. The TFNs were used in this F-AHP method as this is the most established and least complicated method of determining the weightages of the criteria in the F-AHP [24,25]. Figure 6 shows the hierarchical tree that was constructed with the nine important criteria and four different core design alternatives, based on the FEA results.…”

Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

“…The Saaty's Scale with the F-AHP scale, as shown in Table 4, was important to determine the robustness crisp values in the PCMs table before the fuzzy element was infused on each value in that table [14,15]. The reciprocal triangular fuzzy scale in the F-PCMs table was evaluated using Equation (4) [25]:…”

Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

“…where u i refers to the upper value, m i refers to the middle value and l i refers to the lower value in the triangular fuzzy numbers element. As Table 4 shows, all the values in the PCMs table were evaluated to evaluate the weights of the decision criteria in triangular fuzzified form, as shown in Equation ( 5) [25]:…”

Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

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Determination of Dimple Core Design Configurations for Sandwich Panel Enhancement Using Fuzzy-Hybrid Decision Making Analysis

Faidzi

Abdullah²,

Singh³

et al. 2023

Materials

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The purpose of this paper is to determine the best dimple core design for metal sandwich panels by investigating the various critical criteria and core design parameters using the fuzzy-hybrid multi-criteria decision-making tool. The structural integrity of a sandwich panel depends on the core design and significantly affects the bonding strength. The continuous design and testing of a sandwich panel is a very lengthy process that increases the design time. The simulation analysis output was segregated into nine critical failure criteria. All the critical criteria weightages were evaluated using the Fuzzy-Analytical Hierarchical Process, while the Fuzzy—Technique for Order Preference by Similarity to Ideal Solution was used to evaluate the Closeness Coefficient value to determine the best core design configuration. The results indicate that the core configuration with a diameter of 6.0 mm and a depth of 3.0 mm obtained the highest closeness coefficient values, 0.9937 and 0.9294, under cyclic loading conditions of 50% and 70%. It was shown that using average sizes in the dimple configuration tends to provide better delamination resistance and structural integrity. This study contributes to the selection of the optimum core design configuration based on the various design criteria and using non-complex and competent analysis.

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Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

Section: Defining the Nine Main Criteria Weight Using The Fuzzy Analy...mentioning

confidence: 99%

See 1 more Smart Citation

Determination of Dimple Core Design Configurations for Sandwich Panel Enhancement Using Fuzzy-Hybrid Decision Making Analysis

Faidzi

Abdullah²,

Singh³

et al. 2023

Materials

View full text Add to dashboard Cite

show abstract

“…The AHP algorithm is a hierarchical, structured, qualitative, and quantitative decision-making method [7]. It enables the combination of qualitative and quantitative, expresses people's subjective judgments in quantitative form, and uses hierarchical structure and judgment matrix as a processing tool to systematically provide decision makers with decision results [8]. A key step in hierarchical analysis is the construction of a decision matrix and the calculation of ranking weights for each comparison element in the decision matrix [9].…”

Section: Introductionmentioning

confidence: 99%

Construction and Evaluation of College Students’ Psychological Quality Evaluation Model Based on Analytic Hierarchy Process

Shi

2022

Journal of Sensors

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College students are a special group of society, having received university education and being at the forefront of new ideas and technologies in society. The basic psychological characteristics common to modern college students and the unique role psychological characteristics of ordinary students are the two major group factors. The basic psychological factors include cognition, personality, and social adaptive behavior. Hierarchical analysis (AHP) is a scientific method for assessing and identifying problems, correlating quantitative treatment of problems with qualitative analysis, and is well suited for semistructured or unstructured decision-making problems. This paper preliminarily studies the structure of College Students’ psychological quality under the background of localization and the construction method of College Students’ psychological quality evaluation model based on analytic hierarchy process. It is proposed to introduce the hierarchical analysis method into the behavioral assessment model of college students’ psychological disorders as the entry point. A model was built to help college ideological and political educators determine whether college students have psychological disorders and disorders provide important insights. The results showed that the split-half reliability of this constructed method was 0.782, and the retest reliability was 0. The standard deviation of the coefficients among all the test subjects was 0.842, indicating that there is a positive correlation between the coefficients. The standard deviation of the coefficients between all test subjects was 0.842, indicating good confidence. Therefore, the model can objectively assess the psychological state of college students and realize the quantitative safety psychological assessment of college students, which is useful for reference in the implementation of teaching decisions.

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“…14 Almost all multicriteria handover methods allocating weights 15 to system attributes facilitates prioritization among them. Weights 16,17 are usually assigned manually without any consideration of how much weight is really needed for any given attribute of a system. If one attribute is assigned a higher weight than another, then this might cause a decrease in handover efficiency.…”

Section: Introductionmentioning

confidence: 99%

An efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks

Satapathy

Mahapatro

2021

Trans Emerging Tel Tech

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Heterogeneous networks are designed to offload or route some of data traffics of mobile networks through other co‐located wireless access networks. This technique apparently increases the capacity of mobile network. In such networks, a vertical handover process plays an important role in providing seamless and uninterrupted connectivity as well as the required level of quality‐of‐service along with a wide coverage for all mobile nodes. Traditional vertical handover algorithms that are based on single criterion (eg, received signal strength) are not performing well in terms of excess handover rates, ping‐pong effects, handover delays, handover cost, etc. This research presents an efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks. This algorithm uses a two‐step execution procedure, the first step evaluates whether the handover is needed or not before initiating a handover process, if needed, then a set of feasible solutions are generated for the vertical handover problem formulated as a multi‐objective optimization problem with two objective functions such as quality factor of networks and handover processing cost. In the second step, an optimal solution (ie, an appropriate access network) for handover is obtained using a hybrid approach of fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to ideal solution (TOPSIS). Our simulation study shows that the proposed algorithm performs well as compared to some other existing algorithms (ie, single‐criterion based, multicriteria with AHP, multicriteria with TOPSIS, and multicriteria with both AHP and TOPSIS) in terms of performance metrics such as handover rate, delay, cost, and energy consumption.

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The application of fuzzy analytic hierarchy process (FAHP) approach to solve multi-criteria decision making (MCDM) problems

Cited by 18 publications

References 17 publications

Determination of Dimple Core Design Configurations for Sandwich Panel Enhancement Using Fuzzy-Hybrid Decision Making Analysis

Determination of Dimple Core Design Configurations for Sandwich Panel Enhancement Using Fuzzy-Hybrid Decision Making Analysis

Construction and Evaluation of College Students’ Psychological Quality Evaluation Model Based on Analytic Hierarchy Process

An efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks

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