Identification and prioritization of construction projects investment risks using a hybrid fuzzy approach

Gharanfoli, Bardeya; Valmohammadi, Changiz

doi:10.1002/mcda.1661

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…The horizontal axis shows the importance of the criteria and, the vertical axis shows the influence and permeability of the criteria. Thus, based on the relationships, it is concluded that the influential and permeable criteria are, “Retirement & Future wellness,” “Human capital panning,” “Absorption and recruiting,” “Empowerment” and “retention.” The sub-factors (indicators) following Table 6 that have positive value ( trueD∼ - trueR∼) generally indicate causal factors and the sub-factors that have a negative value ( trueD∼ - trueR∼) indicate effect factors (Gharanfoli and Valmohammadi, 2019). So “Retirement & Future wellness” is the most influential factor and “Retention” is the most permeable factor.…”

Section: Research Resultsmentioning

confidence: 99%

“…So “Retirement & Future wellness” is the most influential factor and “Retention” is the most permeable factor. The cause-and-effect relationships and the impact of the factors on each other are indicated in a Cartesian coordinate system by drawing points with coordinates trueD∼ + trueR∼ and trueD∼ - trueR∼, based on the trueT∼ matrix and the degree of causality of the factors on each other (Gharanfoli and Valmohammadi, 2019) which are shown in figures 2.…”

Section: Research Resultsmentioning

confidence: 99%

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Determinants of the human capital department development programs toward achieving functional strategic objectives: a fuzzy hybrid approach

Valmohammadi

Shahrashoob

2022

ICT

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Purpose Due to the important role of strategic human resources in fulfilling the main objectives of organizations on the one hand and the necessity of having suitable functional strategies in place to operationalize the developmental programs on the other hand, this study aims to identify the factors and sub-factors of developmental programs and their priorities as well as the relationship and interactions of the identified criteria in human capital developmental programs through a hybrid fuzzy decision-making trial and evaluation laboratory –analytic network process approach. Also, the rank of functional strategies to achieve these human resource developmental programs is determined using fuzzy VIsekriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) technique. Design/methodology/approach Through an in-depth review of the relevant literature, the most important criteria and sub-criteria were determined. Then, a questionnaire was designed and distributed among 20 top managers and experts of the surveyed bank. Using geometric mean, the criteria were screened. In the next step, the second pairwise questionnaire was designed and distributed among eight experts, to determine the relations and interrelations among these factors their relevant sub-factors and prioritize them. Finally, using the third designed questionnaire and fuzzy, VIKOR (FVIKOR) technique the ranks of functional strategies were determined. Findings Analysis of the results showed that “future wellness and retirement” is the most influential factor and the “retention” factor is the most permeable factor. Also, human capital planning is the most important factor of this department’s developmental programs in achieving its strategic objectives. Factors “recruiting and hiring,” “retention,” “empowerment” and “future wellness and retirement” were ranked second to fifth, respectively. Finally, the application of the FVIKOR technique revealed that “enhancement and improvement of incentive systems” is the best functional strategy to achieve the developmental plans of the human capital department. Research limitations/implications One of the limitations of this study is the generalizability of the findings, which may be limited by the single case study method used. Practical implications This study presents a comprehensive and effective tool which could specifically help policymakers and top managers of the survey company and other managers of the banking sector in general, to use a quantitative approach toward identification and prioritizations of the determinants factors of the human capital developmental programs toward achieving functional strategic objectives to enhance the satisfaction of their internal customer as the most important asset of their organizations which might lead to the increased external customer satisfaction and, subsequently, increased competitive advantage. Originality/value To the best knowledge of the authors, this is one the first studies of its kind which attempts through a hybrid fuzzy analytical network process and fuzzy DEMATEL approach, presents a structural network model to examine the interrelationships among the human capital developmental programs and prioritizes them, also simultaneously rank the functional strategies toward achieving these programs using FVIKOR technique.

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Section: Research Resultsmentioning

confidence: 99%

Section: Research Resultsmentioning

confidence: 99%

Determinants of the human capital department development programs toward achieving functional strategic objectives: a fuzzy hybrid approach

Valmohammadi

Shahrashoob

2022

ICT

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“…The review of previous studies show that most of the researchers have used fuzzy decision‐making methods combined with Analytic Network Process (ANP) and Decision‐Making Trial and Evaluation Laboratory (DEMATEL) to choose the proper options in different issues 38 . Gharanfoli and Valmohammadi 39 by the literature note that ANP method is capable of solving the interactions and feedback among factors, but as it employees average methods to obtain the weighted super‐matrix, so the results of assessed weights could be higher or lower than the real values. Therefore, the treatments of inner dependences among factors are incomplete and imperfect.…”

Section: Main Factors and Their Revlevant Subfactorsmentioning

confidence: 99%

“…It is worth mentioning that limiting the weighted super matrix was done by raising it to sufficiently large powers, until it converged the power of 5 and reached a steady‐state super matrix 39 . Actually, in this step, the global priority vector is obtained, which defines the influential weights for the criteria (see Table 14).…”

Section: Main Factors and Their Revlevant Subfactorsmentioning

confidence: 99%

Proposing a digital identity management framework: A mixed‐method approach

Rasouli

Valmohammadi

Azad

et al. 2021

Concurrency and Computation

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This research aims to study the most critical elements of digital identity management to recognize the pattern and the requirements of their use and implementation. Further, an attempt is made to identify and prioritize the criteria and their relevant indicators of digital identity management in the form of a comprehensive framework. To this end a fuzzy multicriteria decision‐making approach was utilized. The framework focuses on a comprehensive perspective to consider digital identity and deals with compiling strategies and operational patterns based on the defined priorities. This applied research with a fundamental approach has a descriptive‐explanatory method as well. Through an in depth‐review of the extant literature and designing an instrument as well as semi‐structure interview the necessary data were collected. The research population consists of 10 experts. By reviewing the theoretical literature of the research, effective factors were identified and screened by the Fuzzy Delphi method leading to six main factors and 31 subfactors. Then, the collected data were analyzed through a hybrid technique known as FDANP (Fuzzy DEMATEL‐ANP) to determine the interactions between the factors and the subfactors and to weigh and prioritize them. The obtained results revealed that “strategic planning” is the most influential factor in digital identity management. Also, the subfactors namely “The use of the maturity model of digital identity management,” “commitment to the whole organization,” “integrity of digital identity management system with other systems,” “integrity of digital identity management program,” and “integrity of the two dimensions of identity management and access management” were ranked as the most influential subfactors of “strategic planning,” respectively. “Access management” was the most permeable factor in digital identity management. It means that this factor is the main problem and could be solved with the help of the influential factors. In addition, subfactors: “Access control to all resources only through the digital identity management system,” “Solution for access management of premium accounts,” “Multi‐factor authentication support,” “Access policy to all resources and information,” and “Determination of the manner of the user access to resources outside the organization” were ranked as the most permeable subfactors.

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“…Application of the fuzzy theory is extended based on the works of Yager and Zadeh (1992) who have utilised decision processes in complex and intelligent systems which are widely used in various basic sciences, engineering and humanities (Asan and Soyer, 2009;Sałabun, 2014;Sałabun et al, 2015;Doumposm et al, 2016;Garg, 2017;Faizi et al, 2017;Benítez et al, 2018;Toth and Vacik, 2018;Trivedi and Singh, 2019;Gharanfoli and Valmohammadi, 2019). In geo-engineering and rock engineering, use of fuzzy theory is outreached quickly.…”

Section: Introductionmentioning

confidence: 99%

Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method

Azarafza

Akgün

Feizi‐Derakhshi

et al. 2020

Heliyon

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This study presents a fuzzy logical decision-making algorithm based on block theory to effectively determine discontinuous rock slope reliability under various wedge and planar slip scenarios. The algorithm was developed to provide rapid response operations without the need for extensive quantitative stability evaluations based on the rock slope sustainability ratio. The fuzzy key-block analysis method utilises a weighted rational decision (multicriteria decision-making) function to prepare the 'degree of reliability (degree of stability-instability contingency)' for slopes as implemented through the Mathematica software package. The central and analyst core of the proposed algorithm is provided as based on discontinuity network geometrical uncertainties and hierarchical decision-making. This algorithm uses block theory principles to proceed to rock block classification, movable blocks and key-block identifications under ambiguous terms which investigates the sustainability ratio with accurate, quick and appropriate decisions especially for novice engineers in the context of discontinuous rock slope stability analysis. The method with very high precision and speed has particular matches with the existing procedures and has the potential to be utilised as a continuous decision-making system for discrete parameters and to minimise the need to apply common practises. In order to justify the algorithm, a number of discontinuous rock mass slopes were considered as examples. In addition, the SWedge, RocPlane softwares and expert assignments (25-member specialist team) were utilised for verification of the applied algorithm which led to a conclusion that the algorithm was successful in providing rational decision-making.

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Identification and prioritization of construction projects investment risks using a hybrid fuzzy approach

Cited by 13 publications

References 24 publications

Determinants of the human capital department development programs toward achieving functional strategic objectives: a fuzzy hybrid approach

Determinants of the human capital department development programs toward achieving functional strategic objectives: a fuzzy hybrid approach

Proposing a digital identity management framework: A mixed‐method approach

Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method

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