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Articles by Imran Taib
Total Records ( 2 ) for Imran Taib
  Lazim Abdullah , Sunadia Jaafar and Imran Taib
  Analytic Hierarchy Process (AHP) is a utility theory based decision making technique, which researches on a premise that the decision making of complex problems can be handled by structuring them into simple and comprehensible hierarchical structure. However, AHP involves human subjective evaluation, which introduces vagueness that necessitates the use of decision making under uncertainty. The concept of Intuitionistic Fuzzy Sets (IFS) is the generalization of the concept of fuzzy set, which germane to uncertainty. The theory of IFS is well suited to dealing with vagueness. In this study, the concept of IFS is applied to AHP and to be called as IF-AHP as a method to handled vagueness in decision making. The aim of this study is to develop a new method for ranking multi-attribute group decision making problem using IFS and to quantify vagueness uncertainties in AHP using IFS for decision making problem. Several linear programming models are constructed to generate optimal weights for attributes. Feasibility and effectiveness of the proposed method are illustrated using a numerical evaluation.
  Lazim Abdullah , Sunadia Jaafar and Imran Taib
  Evaluation on Human Capital (HC) development and a knowledge based economy becomes increasingly important as several approaches have been proposed. One of the popular methods in multi criteria evaluation is the pair-wise comparison of Analytic Hierarchy Process (AHP). This study aims to rank human capital indicators using a hybridization of the AHP and two-sided evaluation in Intuitionistic Fuzzy Sets (IFS). The new Intuitionistic Fuzzy Analytic Hierarchy Process (IFAHP) is used to evaluate the four main indicators of HC. The IFAHP approach measures indicators of HC by considering positive attributes and negative attributes of HC indicators concurrently via expert judgments. A fourteen items questionnaire was employed to elicit linguistic data from three experts in the field of HC management. Linguistic judgments of the indicators in pair-wise comparison evaluation are computed using the five step algorithm of the IFAHP approach. The results show that the creating result by using knowledge is the highest in the ranking. Of the four indicators, Employee’s Skill Index is the lowest in the ranking. The ranking surely reflects the importance of the indicators in managing HC especially in Malaysian enterprises.
 
 
 
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