Evaluating Project Management Criteria Using Fuzzy Analytic Hierarchy Process

被引:10
|
作者
Mohammed, Husam Jasim [1 ]
Al-Jubori, Ihsan Ali Mubarak [1 ]
Kasim, Maznah Mat [2 ]
机构
[1] Imam Jaafar Al Sadiq Univ, Coll Adm Sci & Financial, Dept Business Adm, Baghdad, Iraq
[2] Univ Utara Malaysia, Sch Quantitat Sci SQS, Inst Strateg Ind Decis Modelling ISIDM, Sintok 06010, Kedah, Malaysia
关键词
AHP;
D O I
10.1063/1.5121097
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Project management is one of the most important issues to fulfil organizational objectives. The project management criteria are playing a vital role for completion of any project. The aim of this paper is to evaluate five main project criteria (time, cost, quality, risk, and safety) mathematically by using a multi-criteria method in order to assist stakeholders or project managers in decision-making. The fuzzy Analytic Hierarchy Process (AHP) is selected with the use of triangular fuzzy numbers for pairwise comparison scales in prioritizing the criteria in managing projects. Utilizing the fuzzy AHP technique can facilitate uncertainty in doing evaluation. In this study, one expert who is a project manager with many years of experience was asked to carry out the evaluation. The results show that the expert's main concern in managing project is time, and cost is the second important. The study demonstrates how uncertainty in making evaluation of multiple criteria can be solved by using fuzzy method such as fuzzy AHP, in contrary to the crisp or the traditional AHP which is based on specific values, the evaluator(s) are always ambiguous and vague to give exact judgment. Hence, the application of this fuzzy method can make the assessment outcomes more accurate, scientific, and objective. It is anticipated that this work may serve as a support tool for stakeholders in improving the project management quality level.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A sustainable forest management criteria and indicators assessment using fuzzy analytic hierarchy process
    Bahadır Çağrı Bayram
    [J]. Environmental Monitoring and Assessment, 2021, 193
  • [3] Evaluating software quality of vendors using fuzzy Analytic Hierarchy Process
    Yuen, Kevin K. F.
    Lau, Henry C. W.
    [J]. IMECS 2008: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2008, : 126 - 130
  • [4] Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches
    Mostafa, Mohsen
    Hatami, Nishtman
    Espahbodi, Kambiz
    Asadi, Farhad
    [J]. JOURNAL OF FOREST SCIENCE, 2022, 68 (07) : 263 - 276
  • [5] Fuzzy analytic hierarchy process for multi-criteria evaluation of construction safety management
    Li, Chenghua
    Yun, Xiaohong
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT SCIENCE AND INFORMATION SYSTEM, VOLS 1-4, 2009, : 1561 - 1565
  • [6] Industry 4.0 project prioritization by using spherical fuzzy analytic hierarchy process
    Oztaysi, Basar
    Onar, Sezi Cevik
    Kahraman, Cengiz
    Otay, Irem
    [J]. DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS, 2020, 12 : 1464 - 1472
  • [7] The Application of Fuzzy Analytic Hierarchy Process (F-AHP) in Engineering Project Management
    Phong Thanh Nguyen
    Ngoc Bich Vu
    Loi Van Nguyen
    Loan Phuc Le
    Khoa Dang Vo
    [J]. 2018 5TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (IEEE ICETAS), 2018,
  • [8] Application of Fuzzy Analytic Hierarchy Process in Engineering Project Optimization
    Yang Kaiyun
    Nie Qingpeng
    Zhang Ruiling
    [J]. PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE CONSTRUCTION & RISK MANAGEMENT, VOLS I AND II, 2010, : 1212 - 1216
  • [9] The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection
    Alyamani, Rakan
    Long, Suzanna
    [J]. SUSTAINABILITY, 2020, 12 (20) : 1 - 16
  • [10] Project Risk Management Based on Analytic Hierarchy Process
    Deng, Fei-yang
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL AND ELECTRICAL ENGINEERING (AMEE 2018), 2018, 298 : 614 - 620