A Prolog based expert system for the allocation of quality assurance program resources
Computers and Industrial Engineering
Microcomputer applications of hybrid intelligent systems
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
A parametric representation of fuzzy numbers and their arithmetic operators
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
Group decision making procedure considering preference strength under incomplete information
Computers and Operations Research
A note on the fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Evaluating weapon systems using ranking fuzzy numbers
Fuzzy Sets and Systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
A GP-AHP Method for solving group decision-making fuzzy AHP Problems
Computers and Operations Research
A software-supported process for assembling evidence and handling uncertainty in decision-making
Decision Support Systems
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
A fuzzy-knowledge resource-allocation model of the semiconductor final test industry
Robotics and Computer-Integrated Manufacturing
Application of a hybrid case-based reasoning approach in electroplating industry
Expert Systems with Applications: An International Journal
Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology
International Journal of Approximate Reasoning
Journal of Intelligent Manufacturing
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Budgetary allocations of resources are made in all businesses, but their volume and composition vary; and efficient budget allocation is fundamental to flow in businesses. The objective of the allocation problem is to determine the required budget for each department (or section) of a company so as to maximize the sum of the company's benefits. The purpose of this paper is to find a suitable degree of fuzziness for preference rankings and to demonstrate an example of budget allocation using artificial intelligence programming, and fuzzy analytic hierarchy process (FAHP). An efficient budget allocation method using FAHP will be provided for businesses. This method is suitable for use in evaluating proposed policies (including tangible and intangible information). A comparison between FAHP and artificial neural network (ANN) will be also made in this paper. An aerospace company's budget allocation problem is investigated as a case study in this research, which will illustrate how to solve this problem. The case study utilizes a two-stage interview (semi-structured interview and in-depth interview) to select their budget allocations given a number of tangible and intangible criteria. The results from the case study are pertinent to other real-world allocation problems that share many of the characteristics of problems, such as decision makers' subjective opinions.