EVALUATING ALTERNATIVE FARMING SYSTEMS: A FUZZY MADM APPROACH

This paper develops a decision support method that integrates measures of achievement in the economic, environmental, and social aspects of farming. The decision support method combines multiple attribute decision making (MADM) with fuzzy logic. The fuzzy MADM model fully ranks decision alternatives relative to the preferences of decision makers and overcomes several problems inherent in other MADM approaches. It is concluded that fuzzy MADM can improve decision making on the farm.fuzzy logic, fuzzy sets, multiple attribute decision making, MADM, Institutional and Behavioral Economics, Research Methods/ Statistical Methods,

FUZZY COMPARATIVE CONCORDANCE ANALYSIS. Proposal and evaluation by a case study

In this paper it is proposed a fuzzy multiple attribute analysis, that we have called comparative concordance, as a help instrument to the decision-making process in an environment of lack of precise information as it generally is the decision-making in regional planning. Through an application to the selection of proceeding programs of the Environmental Plan of Andalusia, 1995-2000, it will be compared to other methods.fuzzy sets, multiple attribute decision, environmental planning

Modelling and optimizing multiple attribute decisions by using fuzzy sets

The purpose of this paper is to present a coherent perspective of modeling and optimizing multiple attribute decisions by using fuzzy sets. In management practice we face most of the time the situation in which a problem have several possible solutions and each solution can be analyzed using multiple criteria models. In the same time, in real life decision making process there is a given level of uncertainty which makes difficult a clear cut analytical analysis. The object of this article is to build a model approach for making multiple criteria decision using fuzzy sets of objects. Elaborating multiple attribute decisions involves performing an assessment and selecting from a given and finite set of possible alternative courses of action in the presence of a given and finite, and usually conflicting set of attributes and criteria.decision making, fuzzy sets, modeling, multiple criteria optimization.

Use of selected methods multi-criteria decision

The purpose of multi-criteria decision models is to help decision maker to evaluate each alternative and to rank them in descending order of performance. This study analyses the base of concept of Multiple Attribute Decision Making for using in different areas. The aim of this paper is to describe the concept of multiple attribute decision making. Achieving this purpose, TOPSIS technique is used as decision making tools. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3456

Strategic weight manipulation in multiple attribute decision making

In some real-world multiple attribute decision making (MADM) problems, a decision maker can strategically set attribute weights to obtain her/his desired ranking of alternatives, which is called the strategic weight manipulation of the MADM. In this paper, we define the concept of the ranking range of an alternative in the MADM, and propose a series of mixed 0-1 linear programming models (MLPMs) to show the process of designing a strategic attribute weight vector. Then, we reveal the conditions to manipulate a strategic attribute weight based on the ranking range and the proposed MLPMs. Finally, a numerical example with real background is used to demonstrate the validity of our models, and simulation experiments are presented to show the better performance of the ordered weighted averaging operator than the weighted averaging operator in defending against the strategic weight manipulation of the MADM problems

METHOD BASED DEA FOR MULTIPLE ATTRIBUTE DECISION MAKING

Using DEA, A new concept for multiple attribute decision making and analysis, relative efficiency and weak relative efficiency is proposed with its relations to the Pareto efficiency being discussed, its economic interpretation and geometrical meaning and existence theorem being given. On the basis of this concept, a new method of unified evaluations and decision making and analysis is designed. Finally, some useful suggestion are given for the applications in R&D project selection and science & technology achievement evaluations. Key words: DEA, multiple attribute decision making, project selection and evaluatio

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KUALITAS KELAS LAPISAN ASPAL DENGAN PENDEKATAN METODE FUZZY MULTI ATTRIBUTE DECISION MAKING MENGGUNAKAN SIMPLE ADDITIVE WEIGTING

ABSTRAKDinas Pekerjaan Umum Bina Marga dan Pengairan Kabupaten Trenggalek belum bisa melakukan pengujian kualitas kelas  aspal yang terintregasi denga komputer. Masih sebatas memakai perhitungan manual untuk mendapatkan hasil dari kualitas kelas lapisan aspal tersebut, dimana akan memerlukan waktu, tenaga, dan pikiran yang cukup banyak untuk menentukan kualitas kelas lapisan aspal.Berdasarkan masalah yang telah diuraikan di atas, penulis melakukan penelitian mengenai perancangan system pendukung keputusan penentuan kualitas kelas lapisan aspal berbasis  Web  menggunakan pendekatan metode  Fuzzy Multiple Attribute Decision Making(FMADM) menggunakan  Simple Additive Weighting  (SAW).  Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perangkingan untuk menentukan alternatif yang diberikan. Kata Kunci :   Sistem Pendukung Keputusan,  Fuzzy logic,  Fuzzy Multiple Attribute Decision Making, Simple Additive Weighting , penentuan kualitas kelas lapisan aspal.ABSTRACTDepartment of Public Works for Bina Marga and Irrigation in Trenggalek cannot accomplish testing the quality of asphalt class  integrated with computers. Previous testing uses manual calculation to get results of asphalt class. It needs extra power and mind to determining the quality of asphalt class. Based on above description about problems, author conducts research on decision support system to determine the qualities a asphalt class based web application using Fuzzy Multiple Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW). Research is done by calculating weight values of every attribute, then doing rank process to determine best alternative.Keywords :  Decision Support System,  Fuzzy logic, Multiple Attribute Decision Making, Simple Additive Weighting, Quality Determination Of Asphalt Class

A GRP-basedHesitant Fuzzy Multiple Attribute Decision MakingMethod and Its Application to E-Commerce Risk Assessment

With respect to multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant fuzzy elements, the traditional grey relational projection (GRP) method is extended to solve multiple attribute decision making problems under hesitant fuzzy environment. Based on the hesitant fuzzy decision matrix provided by decision makers, all feasible alternatives are ranked according to the descending order of relative grey relational projections, and the most desirable alternative(s) should have the largest grey relational projection on positive ideal solution and the smallest grey relational projection on negative ideal solution. Finally, a numerical example of e-commerce risk assessment is given to illustrate the application of the proposed method