Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study of Turkey

Erensal, Yasemin Claire; Öncan, Temel; Demircan, Murat Levent

doi:10.1016/j.ins.2005.11.004

Cited by 208 publications

(112 citation statements)

References 14 publications

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“…Fuzzification methods have been used in many studies (Feng 1995;Deng 1999;Mikhailov, Tsvetinov 2004;Erensal et al 2006;Wang et al 2008). In this study, they were used for the clustering of factors affecting forest fires (important factors that have been identified by the Apriori algorithm).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering

Jafarzadeh¹,

Mahdavi²,

Jafarzadeh³

2017

J. For. Sci.

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Jafarzadeh A.A., Mahdavi A., Jafarzadeh H. (2017): Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering. J. For. Sci., In this study we evaluated forest fire risk in the west of Iran using the Apriori algorithm and fuzzy c-means (FCM) clustering. We used twelve different input parameters to model fire risk in Ilam Province. Our results with minimum support and minimum confidence show strong relationships between wildfire occurrence and eight variables (distance from settlement, population density, distance from road, slope, standing dead oak trees, temperature, land cover and distance from farm land). In this study, we defined three clusters for each variable: low, middle and high. The data regarding the factors affecting forest fire risk were distributed in these three clusters with different degrees of membership and the final map of all factors was classified by FCM clustering. Each layer was then created in a geographic information system. Finally, wildfire risks in the area obtained from overlaying these layers were classified into five categories, from very low to very high according to the degree of danger.

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Section: Methodsmentioning

confidence: 99%

Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering

Jafarzadeh¹,

Mahdavi²,

Jafarzadeh³

2017

J. For. Sci.

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“…Hence, it has become famous for solving multi-attribute decision making (MADM) problems and providing a more precise ranking methodology [41]. All the steps involved in fuzzy AHP are the same as in AHP except for the fuzzy representation of the pairwise comparison by triangular fuzzy numbers (TFNs) [42]. To represent TFNs in the pairwise comparison, three real numbers are stated as a triple (l, m, u), whereas in the fuzzy AHP method, despite having distinct numbers, the numbers 1-9 symbolize triangular fuzzy numbers that handle the vagueness and imprecision in the pairwise priority values of the criteria involved.…”

Section: B Fuzzy Ahp Approachmentioning

confidence: 99%

A Practical Approach for Evaluating and Prioritizing Situational Factors in Global Software Project Development

Gulzar¹,

Sang²,

Memon³

et al. 2018

ijacsa

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Abstract-There has been an enormous increase in globalization that has led to more cooperation and competition across boundaries. Software engineering, particularly distributed software development (DSD) and global software development (GSD), is evolving rapidly and presents several challenges, such as geographical separations, temporal differences, cultural variations, and management strategies. As a result, a variety of situational factors (SFs) arise that causes challenging problems in software development. Both literature and real world software industry study revealed that the extent of the effect of SFs may vary subject to a certain software project. Project executives should need to concentrate on the right SFs for the successful development of a specific project. This work first examines the optimal and most well-balanced GSD-related SFs and then presents a mechanism for prioritizing the SFs to better understand the extent to which an SF generally affects the GSD. A set of 56 SFs in 11 categories is identified and analyzed in this research. A fuzzy set theory based, multi criteria decision making (MCDM) technique, fuzzy analytical hierarchy process (FAHP) was proposed to extract the SFs that have the strongest effects on GSD. The proposed technique is intelligent and automated and can be customized to suit specific conditions and environments. Thus, it can provide support for a much-needed variation that is the hallmark of such software development environments. A case study of a global company working in collaboration on a project JKL was selected to identify and prioritize the most challenging SFs. A sensitivity analysis is carried out to evaluate the extent of the impact for highly ranked SFs related to JKL project.

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“…A crisp subset of a universe can be described with the help of RST.The lower and upper boundary approximations [22] are used to determine the hidden knowledge in info systems. …”

Section: A Genetic Algorithmmentioning

confidence: 99%

Optimal Reliable Routing Path Selection in MANET through Novel Approach in GA

M.¹,

N.²,

V.³

2017

IJISA

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Abstract-In MANETs (Mobile Adhoc Network) judgment in optimal reliable routingpath between source and destination is a challenging task because of the mobility nature of nodes and is deficient inthe infrastructure of the network which is so dynamic. So the objective of this paper is to identify an optimal reliable ordered routing paths between source and destination nodes in MANET.To meet the above challenging task the paper focus on an new novel approach in Genetic Algorithm called Parametric fitness based Genetic Algorithm.Proposed algorithm hybridized with classification modelrough sets as one key sub component which offers better accuracy results.

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Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study of Turkey

Cited by 208 publications

References 14 publications

Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering

Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering

A Practical Approach for Evaluating and Prioritizing Situational Factors in Global Software Project Development

Optimal Reliable Routing Path Selection in MANET through Novel Approach in GA

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