Significance of expert competence consideration in group decision making using AHP

Tsyganok, Vitaliy; Kadenko, Sergii; Andriichuk, Oleh

doi:10.1080/00207543.2012.657967

Cited by 43 publications

(26 citation statements)

References 13 publications

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“…This fact can affect the results of the evaluation process. For example, results of the Tsyganok et al (2012) experiment 'confirm the presumption that un-der large expert numbers competence of individual experts does not matter significantly and can be neglected, but if the number of experts in a group is relatively small, expert competence should always be taken into consideration'. To reduce the risk of slightly insignificant evaluation results collection, organisations should involve experts into the evaluation process as much as possible.…”

Section: Rational Approach To Job Advertisements Design and Developmentmentioning

confidence: 55%

Tendencies of Electricity Production and Consumption in the Baltic Sea Region

Allena¹

2014

Conference Proceedings

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Section: Rational Approach To Job Advertisements Design and Developmentmentioning

confidence: 55%

Tendencies of Electricity Production and Consumption in the Baltic Sea Region

Allena¹

2014

Conference Proceedings

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“…The degree of conflict ranges from 0 to 1, with a higher value indicating greater conflict between two land-use types. In determining the degree of conflict, in addition to reference to previous studies (Ligmann-Zielinska et al 2005;Cao et al 2011Cao et al , 2012, we adopt the analytic hierarchy process (Tsyganok et al 2012) to collect and analyze the suggestions of experts, decision-makers, and various stakeholders. The final degrees of conflict are presented in Table 4, and the objective of minimizing the incompatibility of neighboring land-use types is represented by Eq.…”

Section: Objectivesmentioning

confidence: 99%

Soil erosion evaluation in a rapidly urbanizing city (Shenzhen, China) and implementation of spatial land-use optimization

Zhang

Huang

2014

Environ Sci Pollut Res

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Soil erosion has become a pressing environmental concern worldwide. In addition to such natural factors as slope, rainfall, vegetation cover, and soil characteristics, land-use changes-a direct reflection of human activities-also exert a huge influence on soil erosion. In recent years, such dramatic changes, in conjunction with the increasing trend toward urbanization worldwide, have led to severe soil erosion. Against this backdrop, geographic information system-assisted research on the effects of land-use changes on soil erosion has become increasingly common, producing a number of meaningful results. In most of these studies, however, even when the spatial and temporal effects of land-use changes are evaluated, knowledge of how the resulting data can be used to formulate sound land-use plans is generally lacking. At the same time, land-use decisions are driven by social, environmental, and economic factors and thus cannot be made solely with the goal of controlling soil erosion. To address these issues, a genetic algorithm (GA)-based multi-objective optimization (MOO) approach has been proposed to find a balance among various land-use objectives, including soil erosion control, to achieve sound land-use plans. GA-based MOO offers decision-makers and land-use planners a set of Pareto-optimal solutions from which to choose. Shenzhen, a fast-developing Chinese city that has long suffered from severe soil erosion, is selected as a case study area to validate the efficacy of the GA-based MOO approach for controlling soil erosion. Based on the MOO results, three multiple land-use objectives are proposed for Shenzhen: (1) to minimize soil erosion, (2) to minimize the incompatibility of neighboring land-use types, and (3) to minimize the cost of changes to the status quo. In addition to these land-use objectives, several constraints are also defined: (1) the provision of sufficient built-up land to accommodate a growing population, (2) restrictions on the development of land with a steep slope, and (3) the protection of agricultural land. Three Pareto-optimal solutions are presented and analyzed for comparison. GA-based MOO is found able to solve the multi-objective land-use problem in Shenzhen by making a tradeoff among competing objectives. The outcome is alternative choices for decision-makers and planners.

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“…A recent AHP study by de FSM Russo and Camanho (2015) reviewed the literature (33 other AHP studies) thoroughly but used only one expert in their AHP analysis [40]. Another study, Tsyganok et al (2012), suggests that " . .…”

Section: Data Preparationmentioning

confidence: 99%

“…. if the number of experts in a group is relatively small, expert competence should always be taken into consideration" [41].…”

Section: Data Preparationmentioning

confidence: 99%

Can Hawaii Meet Its Renewable Fuel Target? Case Study of Banagrass-Based Cellulosic Ethanol

Tran

Yanagida

2016

IJGI

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Banagrass is a biomass crop candidate for ethanol production in the State of Hawaii. This study examines: (i) whether enough banagrass can be produced to meet Hawaii's renewable fuel target of 20% highway fuel demand produced with renewable sources by 2020 and (ii) at what cost. This study proposes to locate suitable land areas for banagrass production and ethanol processing, focusing on the two largest islands in the state of Hawaii-Hawaii and Maui. The results suggest that the 20% target is not achievable by using all suitable land resources for banagrass production on both Hawaii and Maui. A total of about 74,224,160 gallons, accounting for 16.04% of the state's highway fuel demand, can be potentially produced at a cost of $6.28/gallon. Lower ethanol cost is found when using a smaller production scale. The lowest cost of $3.31/gallon is found at a production processing capacity of about 9 million gallons per year (MGY), which meets about 2% of state demand. This cost is still higher than the average imported ethanol price of $3/gallon. Sensitivity analysis finds that it is possible to produce banagrass-based ethanol on Hawaii Island at a cost below the average imported ethanol price if banagrass yield increases of at least 35.56%.

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Significance of expert competence consideration in group decision making using AHP

Cited by 43 publications

References 13 publications

Tendencies of Electricity Production and Consumption in the Baltic Sea Region

Tendencies of Electricity Production and Consumption in the Baltic Sea Region

Soil erosion evaluation in a rapidly urbanizing city (Shenzhen, China) and implementation of spatial land-use optimization

Can Hawaii Meet Its Renewable Fuel Target? Case Study of Banagrass-Based Cellulosic Ethanol

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