GIS-based fuzzy-analytic network process (FAHP), fuzzy-analytic hierarchy process (FANP) methods and feature selection algorithm (FSA) to determine earthquake-prone areas in Kermanshah Province

2021 ◽  
Vol 80 (18) ◽  
Author(s):  
Marzieh Mokarram ◽  
Saeed Negahban ◽  
Belkendil Abdeldjalil
Keyword(s):  
Feature Selection ◽  
Analytic Hierarchy Process ◽  
Analytic Network Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process ◽  
Fuzzy Analytic Network Process

Site selection for landfill gas extraction plant by fuzzy analytic hierarchy process and fuzzy analytic network process in the city of Najafabad, Iran

2017 ◽  
Vol 28 (7) ◽  
pp. 763-774 ◽  
Author(s):  
Mohammad Saeed Khademalhoseiny ◽  
Mozhgan Ahmadi Nadoushan ◽  
Hadi Radnezhad
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Network Process ◽  
Biogas Plant ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process ◽  
The City ◽  
Fuzzy Analytic Network Process ◽  
Selection Of

For the selection of the suitable place for the construction of sanitary landfill and biogas plant in the city of Najaf Abad, this study used fuzzy analytic hierarchy process, fuzzy analytic network process, and geographic information system. In this research, factors such as slope, aspect, geology, land use, biomass, and distance from groundwater, electricity network, protected areas, and roads were used as the most important criteria for site selection of biogas plant. The results of weighting and overlaying the maps of different criteria showed that based on the analytic network process, the best place selected for the establishment of biogas reactor was located in the southwest and based on analytic hierarchy process, the best places are located in the south and southwest of the study area. Suggested places, which are the best for the establishment of biogas plant, are located in barren lands of Najaf Abad. Moreover, according to the result, it is found that 10% and 11% of the study area are highly suitable based on fuzzy analytic hierarchy process and analytic network process methods, respectively. The results showed that the usage of fuzzy analytic hierarchy process, fuzzy analytic network process as multi-criteria decision-making methods in combination with geographic information system are suitable for selecting the best place for landfill and biogas plant.

scholarly journals ANALYTIC NETWORK PROCESS (ANP) PADA BALANCED SCORECARD (BSC) DENGAN PENDEKATAN FUZZY

2016 ◽  
Vol 3 (2) ◽  
pp. 205
Author(s):  
Oni Soesanto ◽  
Muhammad Mahfuzh Shiddiq ◽  
Oktarini Oktarini
Keyword(s):  
Analytic Hierarchy Process ◽  
Balanced Scorecard ◽  
Fuzzy Number ◽  
Analytic Network Process ◽  
Triangular Fuzzy Number ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process ◽  
Fuzzy Analytic Network Process

<p align="center"><strong>ABSTRAK</strong></p><p>Himpunan <em>fuzzy</em> merupakan perkembangan dari himpunan klasik. Himpunan <em>fuzzy</em> digunakan sebagai dasar dalam logika <em>fuzzy</em>. Logika <em>fuzzy</em> banyak diterapkan pada penelitian teknik pengambilan keputusan. Teknik pengambilan keputusan yang menerapkan logika <em>fuzzy</em> juga dapat digunakan dalam <em>Balanced ScoreCard</em> (BSC). Salah satu metode teknik pengambilan keputusan adalah <em>Fuzzy Analytic Hierarchy Process </em>(FAHP). FAHP telah diterapkan dalam BSC, namun tidak mencerminkan kondisi BSC sehingga diperlukan metode lain yang  memperhatikan keterkaitan antar aspek,  yaitu <em>Fuzzy Analytic Network Process </em>(FANP). FANP mampu memperbaiki kelemahan FAHP berupa kemampuan mengakomodasi keterkaitan antar kriteria atau alternatif. Paper ini membahas konsep pendekatan <em>Fuzzy</em> pada metode ANP menggunakan <em>extent analysis method</em><em> </em>untuk mengukur kinerja perusahaan berdasarkan indikator dalam perspektif BSC.</p><p><strong>Kata Kunci</strong>: <em>Balanced Scorecard</em> (BSC), Metode <em>extent analysis, Fuzzy Analytic Network Process</em> (FANP), <em>Triangular Fuzzy Number </em>(TFN)</p>

Diminishing Utility Decision Model for Weighting Criteria

2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Marginal Utility ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Absorbing State ◽  
Network Process ◽  
Diminishing Marginal Utility ◽  
Hierarchy Process

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.

A MATRIX METHOD FOR THE FUZZY ANALYTIC NETWORK PROCESS

2008 ◽  
Vol 16 (06) ◽  
pp. 863-878 ◽  
Author(s):  
JIH-JENG HUANG
Keyword(s):  
Weight Vector ◽  
Analytic Network Process ◽  
Matrix Problem ◽  
Analytic Hierarchy ◽  
Global Weight ◽  
Network Process ◽  
Local Vectors ◽  
Reciprocal Matrix ◽  
Hierarchy Process ◽  
Fuzzy Analytic Network Process

In this paper, the fuzzy analytic network process (FANP) is proposed. For achieving this purpose, two problems are highlighted and overcome in this paper. First, the postulate of the reciprocal matrix should be released, because this property is not satisfied in the fuzzy comparison matrix. Second, the convergent problem for raising the fuzzy supermatrix to limiting power should be appropriately handled. In this paper, we directly fuzzify Cogger and Yu's method for obtaining the fuzzy local vectors, because their method releases the postulate of the reciprocal matrix in the analytic hierarchy process (AHP). Then, we derive the particular matrix problem for obtaining the fuzzy global weight vector so that the convergent problem in a fuzzy limiting supermatrix can be overcome.

The Analytic Network Process – Dependence and Feedback in Decision-Making

2011 ◽  
pp. 360-387 ◽  
Author(s):  
Thomas L. Saaty
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Market Share ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Fundamental Scale ◽  
Network Process ◽  
Independence Assumptions ◽  
Hierarchy Process ◽  
Pair Wise Comparison

Simple multi-criteria decisions are made by deriving priorities of importance for the criteria in terms of a goal and of the alternatives in terms of the criteria. Often one also considers benefits, opportunities, costs and risks and their synthesis in an overall outcome. The Analytic Hierarchy Process (AHP) with its independence assumptions, and its generalization to dependence among and within the clusters of a decision — the Analytic Network Process (ANP), are theories of prioritization and decision-making. Here we show how to derive priorities from pair-wise comparison judgments, give the fundamental scale for representing the judgments numerically and by way of validation illustrate its use with examples and then apply it to make a simple hierarchic decision in two ways: pair-wise comparisons of the alternatives and rating the alternatives with respect to an ideal. Network decisions are discussed and illustrated with market share examples. A mathematical appendix is also included.

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