Using fuzzy goal programming by considering personal preferences for job selection via the internet

Abstract

Purpose

The purpose of this paper is to use personal fuzzy demand, assisted by system computing to find a job, using job search systems to achieve this goal.

Design/methodology/approach

The search system uses the fuzzy goal programming (FGP) method by setting personal preferences as property values and screening the data for comparison and calculation. By presenting information sorted by the inputted property values, the methodology suggests the best job options.

Findings

FGP algorithms make job-searching systems meet the needs of users better, which can really affect jobseekers’ approaches to pursuing work.

Research limitations/implications

As it has only considered the local cultural environment, this paper’s findings are limited by being confined to Taiwanese samples.

Practical implications

The experimental results of the proposed method have been compared with other websites to show their effectiveness.

Originality/value

This paper has assisted personal decision making using FGP applied to the internet which has seldom been studied previously.

Citation

Chen, C.-Y., Su, C.-R., Tu, J.-F., Lin, C.-C. and Chang, C.-T. (2016), "Using fuzzy goal programming by considering personal preferences for job selection via the internet", Engineering Computations, Vol. 33 No. 6, pp. 1865-1880. https://doi.org/10.1108/EC-09-2015-0262