scholarly journals A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Amin Vafadarnikjoo ◽  
Marco Scherz
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Attribute Decision Making ◽  
Neutrosophic Set ◽  
Ahp Method ◽  
Uncertain Environments ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Organisation Management ◽  
Hierarchy Process

The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. The aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. This study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decision-making modelling. The applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. The computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. In addition, the results verify the significance of the research in group decision-making under uncertainty. The practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively.

scholarly journals A Novel Approach for Ontological Representation of Analytic Hierarchy Process

2014 ◽  
Vol 988 ◽  
pp. 675-682 ◽  
Author(s):  
Yong Xin Liao ◽  
Eduardo Rocha Loures ◽  
Osíris Canciglieri ◽  
Hervé Panetto
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Assessment Methods ◽  
Multi Criteria Decision Making ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Novel Approach ◽  
Priority Assessment ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) is one of the widely accepted and frequently used priority assessment methods. A number of studies, which employed the AHP method, have already been carried out in different domains to support their multi-criteria decision-making definitions and applications. However, few researchers have paid attentions to extract and represent the important concepts and their relationships from the AHP method itself. The aim of this study is firstly to propose a way for representing the AHP method as an AHP Ontology together with a set of reasoning rules. Then, a prototype assessment tool is developed to show the possibility of obtaining more flexibility and reusability of this ontological representation.

scholarly journals Application of Analytic Hierarchy Process to Benchmarking of Project Management Performance: An Application in the Caribbean Public Sector

2002 ◽  
Vol 27 (2) ◽  
pp. 29-48 ◽  
Author(s):  
Prasanta Kumar Dey
Keyword(s):  
Project Management ◽  
Public Sector ◽  
Analytic Hierarchy Process ◽  
Management Practices ◽  
Multiple Attribute Decision Making ◽  
Superior Performance ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Petroleum Sector ◽  
Hierarchy Process

Benchmarking can be described as the search for the best practices leading to superior performance of an organization. This study demonstrates how analytic hierarchy process (AHP), a multiple attribute decision-making technique, can be used for benchmarking project management practices. The methodology has been applied to benchmark project management practices of Caribbean public sector organizations, organizations in the Indian petroleum sector, and infrastructure sector organizations of Thailand and UK. This study illustrates the effectiveness of a proposed benchmarking model using AHP and suggests measures for effective project management.

scholarly journals Business Feasibility Research in Opening Learning Centre at Balaraja based on SWOT and AHP Method

2019 ◽  
Vol 6 (1) ◽  
pp. 21-27
Author(s):  
Yunita Yunita
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Analytic Hierarchy Process ◽  
Swot Analysis ◽  
Business Development ◽  
Decision Tool ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Feasibility Research ◽  
Hierarchy Process

Business feasibility research is needed before business development team decided to start the business. SWOT analysis is an important part of it, since it described Strength – Weaknesses – Opportunity – Threats. However the result have no score, so its makes harder to consider each part in making decision. AHP (Analytic Hierarchy Process) is one of the method in decision tool to scoring, AHP carry the quantitative analysis of the problem. The combine of SWOT and AHP in feasibility research provide more reliable accurate in decision making. The aim of this paper is to analyze the business feasibility in opening learning centre at Balaraja based on SWOT and AHP method.

scholarly journals Identifying and Measuring the Weights of Halal Compliance Rating (HCR) Components of Best Halal Practices by Applying AHP Method

2021 ◽  
Vol 6 (2) ◽  
pp. 104
Author(s):  
Md Siddique E Azam ◽  
Moha Asri Abdullah ◽  
Anis Najiha Ahmad
Keyword(s):  
Decision Making ◽  
Food Safety ◽  
Analytic Hierarchy Process ◽  
Rating System ◽  
Rating Systems ◽  
Ahp Method ◽  
Research Papers ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Packaging And Labelling

The halal industry in restaurant chain is lacking a rating system that would help the consumers to choose their preferences and enhance the halal integrity. In this regard, as a first step to develop a halal compliance rating (HCR) tool, the objective of this research is to identify and select the components of best halal practices for restaurants. This was achieved by reviewing existing relevant rating systems, standards, and research papers. The selected ten components were weighed by applying Analytic Hierarchy Process (AHP) method of decision making through the participation of 15 experts where the maximum priority was given to �Hygiene and Food Safety (HFS)� component with a weightage of 22.3%. The least priority was given to �Branding, Packaging, and Labelling (BPL)� with a weightage of 4.4%. The consistency ratio was checked as 0.015. Additionally, the study investigates the auditable and measurable areas of the selected ten HCR components.

A Novel Heterogeneous Wireless Network Selection Algorithm Based on INFAHP and IGRA

2020 ◽  
Vol 20 (03) ◽  
pp. 2050010
Author(s):  
HEWEI YU ◽  
MEIYUAN GUO ◽  
JINGXI YU
Keyword(s):  
Analytic Hierarchy Process ◽  
Wireless Network ◽  
Multiple Attribute Decision Making ◽  
Network Selection ◽  
Heterogeneous Wireless Network ◽  
Network Access ◽  
Selection Algorithm ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Hierarchy Process

In the research of heterogeneous wireless network access selection algorithm, the method used for setting network attribute parameter weights is usually simple: using one of the subjective or objective weighting methods: Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP), Entropy, etc. As a result, the network selection results are incomprehensive. In this paper, we propose a new selection algorithm based on the combination of Intuitionistic Normal Fuzzy Analytic Hierarchy Process (INFAHP) and Improved Grey Relation Analysis (IGRA), which has been proved to be a new Multiple Attribute Decision Making (MADM) method based on the combination of subjective and objective weights. This algorithm expresses the semantic importance of the intuitionistic normal fuzzy number and calculates the subjective weight of network attributes using INFAHP while obtaining the objective weight using Coefficient of Variation (CV) at the same time. The final weights are integrated by subjective and objective weights. After that, the candidate networks can be sorted using IGRA. The proposed algorithm can get the more comprehensive weights of the network attributes by integrating the subjective and objective weights. Simulation results show that our algorithm can reduce the ratio of network handovers by 25% in average in the four traffic classes and improve the ping-pong effect effectively, so as to better meet users’ demands for QoS.

scholarly journals FAHPSort: A Fuzzy Extension of the AHPSort Method

2018 ◽  
Vol 17 (04) ◽  
pp. 1119-1145 ◽  
Author(s):  
Jana Krejčí ◽  
Alessio Ishizaka
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Powerful Method ◽  
Linguistic Terms ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Hierarchy Process

Analytic Hierarchy process (AHP) is a powerful method belonging to the full aggregation family of multi-criteria decision-making methods based on pairwise comparisons of objects. Since the information about the problem is usually not complete in real decision-making problems, it is difficult to express precisely the preferences on pairs of compared objects. This problem has been handled in the literature by introducing fuzziness into AHP. However, neither AHP nor its fuzzy extensions can deal with sorting decision-making problems, which form a significant part of decision-making problems. This paper presents the FAHPSort method — a fuzzy extension of the AHPSort method, which is an adaptation of the AHP method for sorting decision-making problems. The FAHPSort method handles the vagueness in the meaning of linguistic terms expressing the intensity of preference of one object over another one. Key properties of the FAHPSort method are described in the paper, and the method is illustrated in a decision-making problem.

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