Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper, a set of fuzzy data is used to ...

Analytic Hierarchy Process (AHP) is major method for decision making, and inner dependence AHP is used for cases in which criteria or/and alternatives are not independent enough. Using the original AHP or inner dependence AHP may cause results that cannot have enough reliability because of the inconsistency of the comparison matrix. In such cases, fuzzy representation for weighting criteria or/...

Selection of projects using a robust technique is rare as most the techniques are not considered useful due to limitation on number that can be selected well cost saving being selected. This study investigated validity hybrid model − integrated analytical hierarchy process-goal programming (AHP-GP) avoid project portfolio selection problems delaying community development.The proposed includes t...

This paper provides to cope with the limitations of traditional FMEA by using an integrated fuzzy multi-criteria decision making method, which considers extension AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference Similarity Ideal Solution), a linear programming. The proposed method is shown application failure mode effects analysis (FMEA) based risk assessment construc...

The selection of multi-functional teams is a key issue in problem solving. Currently there are no papers in the literature that discuss analytical approaches to forming teams. Furthermore, no comprehensive model exists to prioritize team membership based on customer requirements or product characteristics. To deal with the underlying complexities of the team selection process, a methodology for...

In the contemporary customer-driven supply chain, maximization of customer service plays an equally important role as minimization of costs for a company to retain and increase its competitiveness. This article develops a multiple-criteria optimization approach, combining the analytic hierarchy process (AHP) and an integer linear programming (ILP) model, to aid the design of an optimal logistic...

A two-stage approach was presented to select woody biomass-based biofuel plants using GIS spatial analysis and the multi-criteria analysis ranking algorithm of compromise programming. Site suitability was evaluated to minimize the direct cost for investors and the potential negative environmental impacts. The first step was to create a site suitability index using a linear fuzzy logic predictio...

This progress report outlines the main reasons why Saaty’s Analytic Hierarchy Process (AHP, see [17] and [18]) is not a valid methodology.

Financial problems have been the subject of much research. A widely used approach in recent work on these problems is the use of fuzzy set theory, where fuzzy terms are used to model the uncertain environments. The purpose of this work is to combine the fuzzy analytic hierarchy process (AHP) with the portfolio selection problem. More specifically, the decision-making problem is to decide which ...

Analytical hierarchy process (AHP) as multiple criteria decision making tools can be used in the problems with spatial nature like selection of construction contractor. In this study the application of AHP and its weakness and strength and ultimately the fuzzy modified analytical hierarchy process (FAHP) is proposed after the concept of fuzziness, uncertainty and vagueness. A triangular fuzzy u...