Fuzzy PROMETHEE Research Articles

Selecting Occupational Safety Equipment by MCDM Approach Considering Universal Design Principles

AbstractOccupational safety concept, which has become a major subject in all industries, has a vital importance in preventing accidents and ensuring a safe working environment. This study proposes an integrated approach to evaluate occupational safety equipment by considering universal design (UD) and technical requirements, both separately and simultaneously. UD principles are concerned with making things usable for anyone, whatever their conditions may be, without any requirements for rearrangement. Two robust multicriteria decision making (MCDM) aid methods, AHP and fuzzy PROMETHEE, are employed to handle the evaluation process in the presented study. The study also includes a demonstration of the proposed approach on a real MCDM problem. The study findings indicate that the proposed approach is valid and accurate, and the inclusion of UD principles has a positive and comprehensive effect on the selection process.

Selecting Start-Up Businesses in a Public Venture Capital Financing using Fuzzy PROMETHEE

Public Venture Capital financing often fail rigorous scrutiny in their selection of high-potential start-ups as compared to Private Venture capital. In some developing countries, decision making on final selection for financial support of early stage but high potential Small and Medium sized Enterprises (SMEs) are often ‘clouded’ by several factors including consideration of political party affiliations. This results in low capital recovery rate and a mischance in choosing deserving start-ups. This paper applies Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (Fuzzy PROMETHEE) method to evaluate and select early-stage but high potential start-up businesses in a government high priority area such as in Information and Communications Technology. A numerical example with pre-defined linguistic terms parameterized by triangular fuzzy numbers is provided. The framework could serve as a useful tool for decision makers in scrutinizing selection of start-ups in other government priority areas.

A BIM-integrated Fuzzy Multi-criteria Decision Making Model for Selecting Low-Carbon Building Measures

Low-carbon building (LCB) has been regarded as an innovative and practical approach to reducing building carbon emissions. The design decision-making for LCBs should consider various criteria which however are often associated with uncertain information. Little research has examined multi-criteria decision making (MCDM) in selecting LCB measures, particularly in high-density subtropical urban environments. That selection process is inhibited by the lack of consensus on assessing the performance of LCB options and of an efficient decision support system. The aim of this paper is to develop a BIM-integrated fuzzy MCDM model for selecting LCB measures. The paper identifies the key criteria and alternatives to systematically assess LCB measures. Five criteria and nine alternatives were identified within the context of high-rise commercial buildings in Hong Kong, which are centralized on technical, economic and environmental aspects of building performance. With the use of BIM and eQUEST, a MCDM model based on Fuzzy PROMETHEE is developed. The developed model is validated utilizing a real project case in Hong Kong. The results will provide design decision-makers with a consolidated tool for selecting LCB measures.

A Proposed Framework for Selection and Prioritization of the Best Strategies: A Hybrid SWOT Analysis, Fuzzy PROMETHEE II and Porter's Generic Strategies

Today, in turbulent market environments and successive appearance of new competitors, one of the most important goals of industrial and business firms is first to keep their market share and then to increase it. They must find untapped markets or make them themselves therefore they have to know their competitive advantages. In 1980, M. Porter introduced three generic strategies. They have been concentrated to cost leadership, product differentiation and focus strategy. Nowadays many companies use Porter’s generic strategies pattern. The main challenge for companies is how to use Porter's generic strategies according to the internal and external factors of the company. This study presents a formulated framework for selection and prioritization of the best firms strategies based on Porter’s generic strategies. The purpose of this study is to present a comprehensive logical method for prioritization of the best strategies according to porter’s generic strategies then improving of SWOT analysis. This study tries to answer these questions: What is the method for improving selection and prioritization of strategies based on porter’s generic strategies? 2. How organizations can select the best strategies? How organizations can prioritize the selected strategies? How they can select and prioritize the best strategies of organization according to Porter’s generic strategies? In this study, we used SWOT analysis for selection of the strategies and prioritizing them by fuzzy PROMETHEE II method. This method uses Porter’s generic strategies as criterion. We used Shannon’s entropy to determine the importance weights of Porter’s generic strategies.

A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese

Online customer reviews of products have a great impact on potential customers’ purchase decisions and provide valuable customer opinions to businesses. However, it is difficult for a customer to go through the huge number of customer reviews of a product to make an informed decision. The opinion comparison, one of the important tasks in opinion mining, uses main product features that have been commented upon by consumers to compare competing products. Because the task of comparing customer opinions can be expressed as the ranking of alternative products using key product features, it can be modeled as a multi-criteria decision making (MCDM) problem. The goal of this paper is to propose fuzzy PROMETHEE, an MCDM method, to rank alternative products based on online customer reviews of products. An experiment is designed to test the proposed method using a sample of Chinese reviews of mobile phones. The results demonstrate that this approach can not only generate a reliable and realistic ranking of products, but also identify key product features that are considered by consumers as the most important aspects of a product.

Selection of logistic service provider using fuzzy PROMETHEE for a cement industry

PurposeThe purpose of this paper is to develop a method to select the best alternative in a multi‐criteria decision making (MCDM) environment when the decision is taken by a group of members in an uncertain environment.Design/methodology/approachIn this paper, Fuzzy Preference Ranking Organization Method for Enrichment Evaluations (Fuzzy PROMETHEE) technique has been used for MCDM problems. The team of decision makers is constituted to integrate their opinion. The analysis is done using Geometrical Analysis for Interactive Aid (GAIA) plane, available in Decision Lab 2000 software, which provides valuable help in understanding the conflicts among criteria.FindingsThe selection of best alternative is done on the basis of generally conflicting criteria. Fuzzy PROMETHEE technique has been proposed and the same is demonstrated using Decision Lab 2000 software. This software can be used for as many criteria as possible and also in a fuzzy environment, where the crisp data for criteria comparison are not available. It is found that the analysis of the results becomes very easy and effective with this software. A case study is conducted for a cement company to select the logistic service providers (LSPs) to demonstrate its ease and effectiveness of use.Originality/valueThe research provides a model to choose the best alternative using Decision Lab 2000 software for Fuzzy PROMETHEE technique. The proposed methodology can be used in a fuzzy environment with ease and effectiveness. In the competitive scenario, this could help the industry in prompt and efficient decision making in MCDM problems.

A fuzzy PROMETHEE II method for the selection of reverse logistics provider

Reverse logistics focuses on the backward flow of materials from customer to supplier (or alternate disposition) with the goals of maximising value from the returned item or minimising the total reverse logistics cost. Reverse logistics is practiced in many industries like steel, aircraft, computers, photo-copiers, automobiles, plastics, carpets, paper, chemicals, appliances and medical items. In this study, a multi-criteria decision making method in fuzzy environment is developed to guide the selection process of best reverse logistics provider.