scholarly journals Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives

2021 ◽  
Vol 13 (7) ◽  
pp. 3891
Author(s):  
Hana Ayadi ◽  
Nadia Hamani ◽  
Lyes Kermad ◽  
Mounir Benaissa
Keyword(s):  
Composite Indicators ◽  
Decision Makers ◽  
Sensitivity Analyses ◽  
Preference Ranking ◽  
Economic Sustainability ◽  
Weak Sustainability ◽  
Interesting Approach ◽  
The Impact ◽  
Consistency Method ◽  
Selection Of

The purpose of this paper is to help decision-makers choose the location of a logistics platform with sustainability perspectives. This study presents a compensatory and partially compensatory approach to build composite indicators, using mainly fuzzy multi-criteria decision-making methods. In the first instance, the fuzzy full consistency method (F-FUCOM) was used to calculate the weight of the criteria and sub-criteria. In the second instance, two aggregation methods, namely the fuzzy multi-attribute ideal-real comparative analysis (F-MAIRCA) and the fuzzy preference ranking organization method for enrichment evaluation (F-PROMETHEE), were used to rank the location of a logistics platform. The novelty of the work lays in studying the impact of limited sustainability and weak sustainability on the location of a logistics platform. In this respect, the aggregation of various sustainability criterion in fuzzy compensatory and partially compensatory composite indicators is an innovative and interesting approach used to locate a logistics platform. The obtained results show that economic sustainability is the most important criterion for the selection of a logistics platform, followed by the environmental criterion. Obviously, the F-MAIRCA and F-PROMETHEE methods provided the same ranking orders. Finally, sensitivity analyses were performed to validate the robustness of the proposed approach.

scholarly journals The impact of herbs and spices on the appreciation of low-salt legume-based dishes

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Marine Vannereux ◽  
Agnes Giboreau ◽  
Anestis Dougkas
Keyword(s):  
Energy Intake ◽  
Salt Content ◽  
Principal Component ◽  
Preference Ranking ◽  
Low Salt ◽  
Before And After ◽  
Interesting Approach ◽  
The Impact ◽  
Different Levels ◽  
Herbs And Spices

AbstractIntroductionDespite the well-documented health benefits of a dietary pattern higher in plant-based food such as legumes, their consumption remains low. Knowing that taste is the first factor in consumers’ food choice, flavoring of legumes using blends of herbs and spices (H&S) is an interesting approach to increase their consumption. This study examines the effect of H&S on the appreciation and energy intake of low salt legume-based dishes in a real context ecological environment.Materials and MethodsA 2-step pilot testing was designed to determine the most favorable recipe between 4 different blends of H&S. Firstly, 4 recipes were evaluated in a balanced order of presentation using different blends of legumes (chickpeas and lentils) and H&S by 115 participants (age 18–35) in an experimental restaurant. Overall liking was measured, followed by a preference-ranking test. Secondly, a perception assessment test was performed (n = 54) with the preferred recipe being divided into 4 variants higher (S) or lower in salt (LS) and H&S (S, LS, LSHS, SHS), according to a 2×2 factorial design (2-AFC test). In a randomized cross-over trial, 94 participants (age 18–35) attended 4 sessions 1 week apart and received the 4 variants as a mezze-type starter. Overall liking, food intake and appetite ratings (VAS) were assessed before and after the starter, main dish and dessert during lunch.ResultsParticipants significantly preferred the Spinach recipe compared with the Ginger, Paprika and Curcuma recipes and they could easily determine the different levels for salt and spices (t-test 5%). There were no significant differences in overall liking and taste between the different levels of salt and spiciness, although Principal Component Analysis showed 55% of the participants rating higher scores for the H&S recipes. Similarly, there were no differences in energy intake between S, LS, LSHS, SHS or total energy intake of the complete lunch. There was no difference in the ratings of hunger, desire to eat and prospective consumption although fullness was significantly higher followed by the S compared with LSHS (P < 0.005).DiscussionOverall appreciation was similar after the addition of H&S in low-salt starter to the high-salt starters, implying that reducing salt content without compromising acceptance is a feasible strategy at an ecological setting. However, there was no difference in energy intake of the four variants and overall appetite ratings. Further analysis, on interindividual differences in terms of eating behavior and acceptance, seems prudent.

Pharmacoeconomics for Dermatologists: An Introduction

1997 ◽  
Vol 1 (3) ◽  
pp. 185-189
Author(s):  
Aditya K. Gupta ◽  
Paul I. Oh ◽  
Neil H. Shear
Keyword(s):  
Health Care ◽  
Medical Literature ◽  
Treatment Options ◽  
Decision Makers ◽  
Sensitivity Analyses ◽  
Economic Evaluations ◽  
Therapeutic Decision ◽  
Therapeutic Decision Making ◽  
Care Decision ◽  
Selection Of

Background: The budgets available for health care are becoming constrained and health care decision makers have increasingly begun to scrutinize cost along with efficacy, tolerability, and cost of the different treatment options for each disease state. In keeping with the above, there has been a marked increase in the number of pharmacoeconomic evaluations published in the medical literature, including dermatology journals. Methods: Comprehensive economic evaluations systematically consider the following: statement of question, defining relevant costs, perspective and time-horizon, synthesis of data on efficacy and effectiveness, and selection of the appropriate analytic type and framework. The conclusions should be tested through extensive sensitivity analyses. Conclusions: Economic evaluations are becoming more prevalent in the field of dermatology. A well-constructed analysis may be an aid to more rational therapeutic decision-making.

scholarly journals Evaluate and Rank the Smartphone Brand Using Fuzzy AHP and PROMETHEE

2019 ◽  
Vol 14 (2) ◽  
pp. 44-51
Author(s):  
Diana Sirmayunie Mohd Nasir ◽  
Nurshahira Zawawi ◽  
Suzanawati Abu Hasan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
System Memory ◽  
Future Work ◽  
Hierarchy Process ◽  
Selection Of

A buying decision process is one of the Multi-Criteria Decision Making (MCDM) problems faced by everyone in daily life. One example is the selection of smartphones brand in the market. Thus, the study is conducted to evaluate the most effective criteria for buying smartphones and to rank the people's preferences on smartphone based on its brand. Six criteria (price, operating system, memory, display, camera and battery) and three alternatives which are the smartphone brands (Oppo, Samsung and Apple) were chosen in the study. Two main processes were involved, which are 1) evaluate the smartphone criteria using Fuzzy Analytic Hierarchy Process (AHP) and 2) ranking the brand using Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). Surveys and questionnaires were conducted and evaluated by decision makers who are the smartphone's users. The result showed storage memory is considered as prominent criteria in choosing a smartphone meanwhile the consumers firstly prefer Oppo, secondly Apple and thirdly Samsung. Future work in this study may use other alternatives to be ranked by considering other top models as well. Keywords: Multiple criteria decision making, smartphone brand, Fuzzy AHP, Fuzzy PROMETHEE  

Biodiversity or bioenergy: is deadwood conservation an environmental issue for French forest owners?1This article is one of a selection of papers from the International Symposium on Dynamics and Ecological Services of Deadwood in Forest Ecosystems.

2012 ◽  
Vol 42 (8) ◽  
pp. 1491-1502 ◽  
Author(s):  
Philippe Deuffic ◽  
Sandrine Lyser
Keyword(s):  
Forest Ecosystems ◽  
Qualitative Interviews ◽  
Wood Decay ◽  
Local Scale ◽  
Decision Makers ◽  
Short Term ◽  
Forest Owners ◽  
Positive Attitudes ◽  
The Impact ◽  
Selection Of

Forest owners are confronted with contradictory views on the importance of deadwood. Environmentalists argue that it should be left in the forest to conserve biodiversity, provide a habitat for specific fauna and flora, and maintain soil quality through wood decay. Conversely, industrial stakeholders, and some public decision makers, advocate harvesting deadwood. Based on a sociological survey and qualitative interviews, we first analyzed the detailed environmental opinions and values of four groups of French foresters as well as their attitudes towards biodiversity, in particular regarding deadwood conservation. We identified various types of attitudes towards deadwood, which could be seen as waste, an unprofitable by-product, a meaningless entity, or a key part of the ecosystem. We then studied the arguments leading them to choose between deadwood conservation and deadwood harvesting for bioenergy production. On one hand, foresters are interested in short-term profitability and pest control, while others fear potential loss of fertility. Finally, the article shows that specific approaches to deadwood conservation ought to be negotiated at a local scale, pending further scientific investigation into the impact of deadwood on biodiversity and the development of more positive attitudes toward ecological concerns in the forest owners’ community.

Prioritization of Elements Selection in Order-Picking Problems Through a Preference Model Influenced by Personality

2019 ◽  
pp. 117-142 ◽  
Author(s):  
Jorge Castro-Rivera ◽  
María Lucila Morales-Rodríguez ◽  
Nelson Rangel-Valdez ◽  
Laura Cruz-Reyes ◽  
Rodolfo A. Pazos R.
Keyword(s):  
Order Picking ◽  
Decision Makers ◽  
Virtual Agent ◽  
Preference Model ◽  
Outranking Relations ◽  
Personality Theories ◽  
Preference Models ◽  
Parameter Values ◽  
The Impact ◽  
Selection Of

In the purchase of products, a warehouse is an integral part between producers and customers, where the order picking is one of several operations involved. This chapter highlights the prioritization of the selection of the elements that make up an order based on the influence of the customer's personality on their preferences in order to choose the alternatives of the order. For this purpose, two approaches of personality theories are integrated in order to model the influence of personality as a factor that influences the parameter values of preference models based on outranking relations. The application case deals with an online supermarket using an intelligent virtual agent as the assistant that receives the order, who emulates the personality and preferences of the customer, selecting and delivering the best order. This chapter will emulate the behavior of decision makers, showing the impact of personality on preferences and will analyze its range of applications in problems related to the order picking.

scholarly journals A combined probabilistic framework to support investment appraisal under uncertainty in desalination projects: an application to Kuwait's water/energy nexus

2020 ◽  
Author(s):  
M. Skourtos ◽  
D. Damigos ◽  
A. Kontogianni ◽  
C. Tourkolias ◽  
A. Marafie ◽  
...  
Keyword(s):  
Decision Makers ◽  
Sensitivity Analyses ◽  
Estimation Methods ◽  
Future Research ◽  
Investment Appraisal ◽  
Water Energy Nexus ◽  
The State Of Kuwait ◽  
Desalination Plants ◽  
The Impact ◽  
Quantifying Uncertainty

Abstract Quantifying uncertainty over technologies, costs, and prices that stem from site-specific conditions, technological particularities and future projections is an important element in the investment appraisal of desalination facilities. Yet, the majority of economic assessments in the field of desalination plants, so far, use deterministic estimation methods based on ‘best guess’ estimates and ceteris paribus sensitivity analyses. Aiming to fill this gap, this paper introduces a new approach towards comparing alternative technological options for desalination facilities under uncertainty based on the Levelized Cost of Water (LCOW). The proposed framework combines Monte Carlo simulations with scenario analysis and random-walk-based models to account for the cone of uncertainty of the LCOW. For purely illustrative purposes, five alternative combinations of desalination technologies and energy sources are examined in the State of Kuwait. The findings show that the proposed framework, although it cannot eliminate uncertainty, can assist decision-makers in managing it by framing the range of possible outcomes of the LCOW. In this way, it offers an insight into the accuracy of the estimates and allows the validation of the impact of risks and uncertainties against the acceptable tolerance level. Yet, several issues need to be addressed in future research.

scholarly journals Decision Making using Fuzzy PROMETHEE for Reverse Supply Chain Management Outsourcing

2019 ◽  
Vol 8 (4S2) ◽  
pp. 255-259
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Makers ◽  
Preference Ranking ◽  
Chain Process ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
Supply Chain Process ◽  
Fuzzy Promethee ◽  
Selection Of

The rising awareness about environmental issues and the need to outrank the competitors necessitates reverse supply chain management. By implementing reverse supply chain process, the industries are able to recapture the products value and can minimize the production cost. The implementation of reverse supply chain management requires huge investment and upgraded technology. Hence most of the manufacturing sectors are outsourcing reverse supply chain management. When it comes to outsourcing, selection of appropriate supplier becomes a problem for industries. In this study, fuzzy Preference Ranking Organization Method for Enrichment Evaluation (fuzzy PROMETHEE) methodology is applied to select the best reverse supply chain management from five alternatives by four decision makers considering ten factors.

scholarly journals Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems

2019 ◽  
Vol 9 (23) ◽  
pp. 5052 ◽  
Author(s):  
Vicente García ◽  
J. Salvador Sánchez ◽  
Ana I. Marqués
Keyword(s):  
Decision Making ◽  
Finite Number ◽  
Performance Metrics ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Performance Metric ◽  
Credit Data ◽  
Credit Granting ◽  
Selection Of

Although various algorithms have widely been studied for bankruptcy and credit risk prediction, conclusions regarding the best performing method are divergent when using different performance assessment metrics. As a solution to this problem, the present paper suggests the employment of two well-known multiple-criteria decision-making (MCDM) techniques by integrating their preference scores, which can constitute a valuable tool for decision-makers and analysts to choose the prediction model(s) more properly. Thus, selection of the most suitable algorithm will be designed as an MCDM problem that consists of a finite number of performance metrics (criteria) and a finite number of classifiers (alternatives). An experimental study will be performed to provide a more comprehensive assessment regarding the behavior of ten classifiers over credit data evaluated with seven different measures, whereas the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) techniques will be applied to rank the classifiers. The results demonstrate that evaluating the performance with a unique measure may lead to wrong conclusions, while the MCDM methods may give rise to a more consistent analysis. Furthermore, the use of MCDM methods allows the analysts to weight the significance of each performance metric based on the intrinsic characteristics of a given credit granting decision problem.

scholarly journals Electronic Markets Selection in Supply Chain with Uncertain Demand and Uncertain Price

2015 ◽  
Vol 2015 ◽  
pp. 1-13
Author(s):  
Fengmei Yang ◽  
Yakun Wang ◽  
Jie Pei ◽  
Jian Li
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Retail Price ◽  
Sensitivity Analyses ◽  
Uncertain Demand ◽  
Electronic Market ◽  
Price Uncertainty ◽  
The Impact ◽  
Selection Of ◽  
Key Questions

In recent years, more and more companies start online operation. Electronic market becomes a key component of some companies’ strategy. Supply chain management is another key component of the strategy as being adopted by an increasing number of companies. There are many interactions between electronic market and supply chain. One of the key questions is to select one type of electronic market from the view of supply chain. This paper develops some models to explore the issue of selection between public electronic market and private electronic market in three scenarios where electronic market is used for buying, for selling, and for both selling and buying, respectively. In a public electronic market, neither the supplier nor the retailer is the owner of the electronic market. However, in a private electronic market, there is an owner that is either the supplier or the retailer. Besides demand uncertainty, we take into account the price uncertainty in electronic market. We explore the conditions under which the agent of supply chain selects one certain type of electronic market by comparing expected profits of supply chain members in different scenarios. Some sensitivity analyses are conducted to explore the impact of the customer demand, electronic market retail price, and e-market use fee on the selection of electronic market. Finally, some interesting managerial and academic insights are obtained.

Methods for Restricting Maximum Exposure Rate in Computerized Adaptative Testing

Methodology ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Juan Ramon Barrada ◽  
Julio Olea ◽  
Vicente Ponsoda
Keyword(s):  
Measurement Accuracy ◽  
Computerized Adaptive Testing ◽  
Computation Time ◽  
Adaptive Testing ◽  
Exposure Rate ◽  
Control Parameters ◽  
The Impact ◽  
Two Alternatives ◽  
Selection Of ◽  
Maximum Exposure

Abstract. The Sympson-Hetter (1985) method provides a means of controlling maximum exposure rate of items in Computerized Adaptive Testing. Through a series of simulations, control parameters are set that mark the probability of administration of an item on being selected. This method presents two main problems: it requires a long computation time for calculating the parameters and the maximum exposure rate is slightly above the fixed limit. Van der Linden (2003) presented two alternatives which appear to solve both of the problems. The impact of these methods in the measurement accuracy has not been tested yet. We show how these methods over-restrict the exposure of some highly discriminating items and, thus, the accuracy is decreased. It also shown that, when the desired maximum exposure rate is near the minimum possible value, these methods offer an empirical maximum exposure rate clearly above the goal. A new method, based on the initial estimation of the probability of administration and the probability of selection of the items with the restricted method ( Revuelta & Ponsoda, 1998 ), is presented in this paper. It can be used with the Sympson-Hetter method and with the two van der Linden's methods. This option, when used with Sympson-Hetter, speeds the convergence of the control parameters without decreasing the accuracy.

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