NORTH- HOIJ-AND Development and Evaluation of Five Fuzzy Multiattribute Decision-Making Methods

We present the development of five fuzzy multiattribute decision-making methods. These methods are based on the analytic hierarchy process (original and ideal mode), the weighted-sum model, the weighted-product model, and the TOPSlS method. Moreover, these methods are examined in terms of two evaluative criteria. Computational results on test problems suggest that although all the methods are inaccurate, some of them seem to be more accurate than the others. The proposed evaluation methodology can easily be used in evaluating more fuzzy multiattribute decision making methods

Determination of the thermal hotel location: application of analytic hierarchy process

Purpose – In recent years, as other sectors, there is an increasing trend of competition in thermal hotel sector. The aim of this study is to determine the importance of the factors on thermal hotel location via Analytic Hierarchy Process (AHP). The study is conducted in one of the most famous thermal cities, Afyonkarahisar-Turkey. Methodology – AHP is used to determine the best location among all alternative locations. Findings – According to the results of AHP, Environmental Factors are found to be the most important factor in determining the location of the thermal hotel. The other factors according to their importance are; Features of the Construction, Costs of Investment, Location of the Construction, Competitive Factors and Demographic Structures respectively. Within Environmental Factors, the sub-factor Closeness to Thermal Water was found to be the most important. Value/originality – Determination of the location of a new hotel is very important for thermal tourism investors and also it is one of the most difficult factors for them. While they determine the most suitable location, they have to think about different criteria and all other alternatives. Other factors like features of the construction, environmental factors, competitive factors and demographic structures are almost as important as the location of the hotel which also has some sub factors. This study focused on how to determine the best hotel location via AHP

Dynamic Project Time and Cost Evaluation Under the Combined Influence of Contract, Quality, and Uncontrollable Change

This dissertation proposes a method that quantifies the dynamics caused by disruptions due to multiple changes that can occur during the progression of a large scale project. To begin, equations consisting of multiple parallel event sequences are derived that define the relationship between individual process events and the final project completion time. Matrix notation and a precedence matrix concept are used in this derivation to produce equations that are best suited for computer programming applications. This relationship is the foundation upon which the equations are built to calculate the variation impact on each event of a large scale project. Pursuing this further, the Analytical Hierarchy Process is used to rank Contract, Quality and Uncontrollable Variation types to generate two multiplication factors. One factor accounts for the variation type, and the other captures the variation influence relative to each event. These factors are used to define and formulate the equations used to quantify the impact of variation on each project event. Matrix notation, binomial variables, and Hadamard operators are used in the formula to optimize the result’s applicability to large data sets required for large scale projects. In the final analysis, the impact equations are used in a Monte Carlo simulation to produce each impact probability. These impact probability results are helpful tools for managing cost and evaluating design options. The Monte Carlo results are also used to reinforce the proposed process by quantifying the impact of change and providing a measurable metric for performance accountability. Examples and illustrations are used in each derivation to better convey the proposed concepts and application