scholarly journals Tourist Satisfaction Factors via Analytic Hierarchy Process Decision Model on Cultural-Tourism in Kota Kinabalu, Sabah

2020 ◽  
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Cultural Tourism ◽  
Analytic Hierarchy ◽  
Tourist Satisfaction ◽  
Hierarchy Process ◽  
Process Decision ◽  
Satisfaction Factors

A Decision Model for Cognitive Task Allocation

1993 ◽  
Vol 37 (4) ◽  
pp. 392-396
Author(s):  
Sotiris A. Papantonopoulos ◽  
Gavriel Salvendy
Keyword(s):  
Analytic Hierarchy Process ◽  
Task Allocation ◽  
Task Analysis ◽  
Decision Model ◽  
Cognitive Task ◽  
Analytic Hierarchy ◽  
Performance Requirements ◽  
Resource Matching ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Cognitive task allocation employs task analysis to identify the performance and operational requirements of task functions; and demand/resource matching to match the identified requirements and the human and computer resources available for implementation. The current methodologies of cognitive task allocation are either too aggregate to provide adequate resolution of performance requirements or domain-specific and thus of limited applicability. The paper introduces a formal, quantitative, and domain-independent model of cognitive task allocation aimed at reducing the limitations inherent in the currently practiced methodologies. Demand/resource matching is modeled as an Analytic Hierarchy Process. The Analytic Hierarchy Process of Demand/Resource Matching is defined as a mapping process along a four-level Analytic Hierarchy. By means of the Analytic Hierarchy Process, a task function (Level 1 of the Analytic Hierarchy) is analyzed into its cognitive processes (Level 2); performance criteria are set for each cognitive process (Level 3) by means of which the capacities of the human, computer, or interactive human/computer controller (Level 4) are evaluated and compared. The Analytic Hierarchy Process then integrates judgements of human and computer abilities and limitations into a weighted average indicating the relative capacity of human and computer to perform this function. This assessment of relative merit of performance can hence be integrated with work design, economic, and other contextual factors towards the final allocation design. The Analytic Hierarchy Process was applied and evaluated in the design of task allocation in production planing and control of a flexible manufacturing system by comparing the allocation designs of two groups of subjects. One group was supported by the decision model, the other received no decision support. The observed differences between the two groups indicated that the decision model can effectively support detailed task analysis and an adequate resolution of performance requirements; the identification of the design, trade-offs between human allocation and automation; and provide the computational resources to reduce decision bias.

Diminishing Utility Decision Model for Weighting Criteria

2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Marginal Utility ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Absorbing State ◽  
Network Process ◽  
Diminishing Marginal Utility ◽  
Hierarchy Process

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.

scholarly journals Analytic Hierarchy Process Case Study Solution Source Selection

2009 ◽  
Vol 5 (2) ◽  
pp. 35-42
Author(s):  
William Townsend
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Selection Problem ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Source Selection ◽  
Hierarchy Process ◽  
Solution Source ◽  
Relative Weighting

The analytic hierarchy process has been used to evaluate and prioritize decision criteria for over 25 years. This case examines an application of the process to a source selection problem in an environment with several stakeholder organizations with disparate assessments of the relative weighting of various decision criteria. The process served as an effective way to establish consensus and produce a supportable decision model.

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